Gemini 4 Carbon
- Input price
- $2.00
- Per 1 million tokens (USD)
- Output price
- $10.00
- Per 1 million tokens (USD)
- Effort levels
- 3total
- Default: Med
- Benchmark results
- 36total
- Benchmark types: 29
Model information
- API model ID
- gemini-4-carbon
- release date
- 2026-10-28
- effort
- Low / Med (default) / High
- Effort source
- Based on thinking level in Gemini API thinking documentation (aistudio.google.com/docs/thinking).
- Claude Code
- unavailable
- Codex
- unavailable
- Availability notes
- Not generally available. At announcement, only some cyber defenders and trusted partners in the Fairwind Program (ID listed in the pricing table). The official model list for Claude Code / Codex (checked 2026-11-12) contains only Anthropic / OpenAI models, respectively, so both are false.
- Availability source
- https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/
Price (USD per 1 million tokens)
Prices do not vary by effort; token consumption does.
| input | $2.00 |
|---|---|
| output | $10.00 |
| cache read | $0.10 |
| cache write | — |
Introductory price. Revised to input $4.00 / output $20.00 / cache $0.20 from 2026-12-01 (arrow notation in the pricing table). Cache is 95% off
Gemini 4 Carbon gemini-4-carbon Input $2.00 → $4.00 from Dec 1, 2026 / Output $10.00 → $20.00 / Context caching $0.10 → $0.20Benchmark results
| Benchmark | effort | Score | Source cost (metric) | measured/reported by | source | Conditions and extraction method |
|---|---|---|---|---|---|---|
| Terminal-Bench 4.0High | High | 65.2% | — | Artificial Analysis | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: a measured value from Artificial Analysis (labeled Terminal-Bench 4.0 (AA))transcribed from tableSource excerptTerminal-Bench 4.0: Gemini 4 Carbon 65.2 |
| Terminal-Bench-Science 0.1not stated | not stated | 64.8% | — | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. table note: Scores for Fable 5.2, Fable 5.1, and Opus 5.5 show results with safeguards on unless otherwise noted. All scores show each model’s highest-available effort unless otherwise noted. Values for other vendor models (as listed by Anthropic).transcribed from tableSource excerpt64.8%Location Table, Terminal-Bench-Science 0.1 row: 64.8 |
| Terminal-Bench-Science 0.1High | High | 64.8% | — | Artificial Analysis | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: a measured value from Artificial Analysistranscribed from tableSource excerptTerminal-Bench Science 0.1: Gemini 4 Carbon 64.8 |
| FrontierCode 2.0Low | Low | 32.4% | $5.49Cost per task | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. A point in the figure "FrontierCode 2.0 / Accuracy vs. cost" on the Anthropic announcement page. values were taken from each point's aria-label (DOM); the page shows them only in the figure; value for a model from some other vendor (announced by Anthropic); the figure's effort label "Low" was mapped to low in the Gemini API thinking leveltranscribed from textSource excerptFrontierCode 2.0 — Accuracy vs. cost: "Gemini 4 Carbon · Low: 32.4% $5.49" |
| FrontierCode 2.0Med (default) | Med | 41.1% | $5.16Cost per task | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. A point in the figure "FrontierCode 2.0 / Accuracy vs. cost" on the Anthropic announcement page. values were taken from each point's aria-label (DOM); the page shows them only in the figure; value for a model from some other vendor (announced by Anthropic); the figure's effort label "Med" was mapped to medium in the Gemini API thinking leveltranscribed from textSource excerptFrontierCode 2.0 — Accuracy vs. cost: "Gemini 4 Carbon · Med: 41.1% $5.16" |
| FrontierCode 2.0High | High | 38.4% | $5.83Cost per task | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. A point in the figure "FrontierCode 2.0 / Accuracy vs. cost" on the Anthropic announcement page. values were taken from each point's aria-label (DOM); the page shows them only in the figure; value for a model from some other vendor (announced by Anthropic); the figure's effort label "High" was mapped to high in the Gemini API thinking leveltranscribed from textSource excerptFrontierCode 2.0 — Accuracy vs. cost: "Gemini 4 Carbon · High: 38.4% $5.83" |
| FrontierSWE 2not stated | not stated | 61.2% | — | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. table note: Scores for Fable 5.2, Fable 5.1, and Opus 5.5 show results with safeguards on unless otherwise noted. All scores show each model’s highest-available effort unless otherwise noted. Values for other vendor models (as listed by Anthropic).transcribed from tableSource excerpt61.2%Location Table, FrontierSWE v2 row: 61.2 |
| FrontierSWE 2High | High | 61.2% | — | Proximal | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: values from the Proximal official leaderboardtranscribed from tableSource excerptFrontierSWE 2: Gemini 4 Carbon 61.2 |
| SWE-sweepHigh | High | 9.6% | — | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: self-measured for Carbon using the mini-swe-agent harnesstranscribed from tableSource excerptSWE-sweep: Gemini 4 Carbon 9.6 | |
| AA-Briefcase v1.1(Elo)not stated | not stated | 1,611 | — | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. table note: Scores for Fable 5.2, Fable 5.1, and Opus 5.5 show results with safeguards on unless otherwise noted. All scores show each model’s highest-available effort unless otherwise noted. Values for other vendor models (as listed by Anthropic).transcribed from tableSource excerpt1611Location Table, AA-Briefcase v1.1 (Elo) row: 1611 |
| AA-Briefcase v1.1(rubric)not stated | not stated | 61.8% | — | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. table note: Scores for Fable 5.2, Fable 5.1, and Opus 5.5 show results with safeguards on unless otherwise noted. All scores show each model’s highest-available effort unless otherwise noted. Values for other vendor models (as listed by Anthropic).transcribed from tableSource excerpt61.8%Location Table, AA-Briefcase v1.1 (rubric) row: 61.8 |
| AutomationBenchnot stated | not stated | 53.9% | — | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. table note: Scores for Fable 5.2, Fable 5.1, and Opus 5.5 show results with safeguards on unless otherwise noted. All scores show each model’s highest-available effort unless otherwise noted. Values for other vendor models (as listed by Anthropic).transcribed from tableSource excerpt53.9%Location Table, AutomationBench row: 53.9 |
| AutomationBenchHigh | High | 53.9% | — | Zapier | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: Zapier official leaderboard (private set)transcribed from tableSource excerptAutomationBench: Gemini 4 Carbon 53.9 |
| OSWorld 2.1 (offline set, partial)not stated | not stated | 81.5% | — | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. table note: Scores for Fable 5.2, Fable 5.1, and Opus 5.5 show results with safeguards on unless otherwise noted. All scores show each model’s highest-available effort unless otherwise noted. Values for other vendor models (as listed by Anthropic).transcribed from tableSource excerpt81.5%Location Table, OSWorld 2.1 (offline set, partial) row: 81.5 |
| OSWorld 2.1 (offline set, partial)High | High | 81.5% | — | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: self-measured. 82-task offline subset, maximum of 3 runs, partial scoretranscribed from tableSource excerptOSWorld-2.1 (offline subset): Gemini 4 Carbon 81.5 | |
| Agents' Last Exam v1.1(rubric score)High | High | 77.4% | — | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: self-measured. 122 tasks, ALE-Claw harness, 5-hour window, averaged rubric Scoretranscribed from tableSource excerptAgents' Last Exam v1.1: Gemini 4 Carbon 77.4 | |
| Chartography (without tools)not stated | not stated | 72.5% | — | not stated | Introducing Claude Fable 5.2 and Claude Mythos 5.2official · Retrieved 2026-11-12 | Vendor-reported value. table note: Scores for Fable 5.2, Fable 5.1, and Opus 5.5 show results with safeguards on unless otherwise noted. All scores show each model’s highest-available effort unless otherwise noted. Values for other vendor models (as listed by Anthropic).transcribed from tableSource excerpt72.5%Location Table, Chartography (no tools) row: 72.5 |
| Chartography (without tools)High | High | 72.5% | — | not stated | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: without tools, following the Surge official leaderboardtranscribed from tableSource excerptChartography: Gemini 4 Carbon 72.5 |
| Artificial Analysis Intelligence Index v5.0High | High | 59 | — | Artificial Analysis | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: values reproduced from Artificial Analysis (third-party)transcribed from tableSource excerptArtificial Analysis Intelligence Index v5.0: Gemini 4 Carbon 59 |
| Vals Index v2.2High | High | 70.4% | — | Vals AI | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: values reproduced from Vals AItranscribed from tableSource excerptVals Index v2.2: Gemini 4 Carbon 70.4 |
| Vending-Bench 2High | High | 16,484 | — | Andon Labs | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: Andon Labs official leaderboard (final balance $)transcribed from tableSource excerptVending-Bench 2: Gemini 4 Carbon 16484 |
| Blueprint-Bench 2High | High | 58.6% | — | Andon Labs | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: Andon Labs official leaderboard (similarity score)transcribed from tableSource excerptBlueprint-Bench 2: Gemini 4 Carbon 58.6 |
| GraphWalks BFS (256k to 1M)High | High | 96.2% | — | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: self-measured. 200 questions, BFS F1transcribed from tableSource excerptGraphWalks BFS (256k-1M): Gemini 4 Carbon 96.2 | |
| RiemannBenchHigh | High | 72.0% | — | Surge AI | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: Surge official leaderboardtranscribed from tableSource excerptRiemannBench: Gemini 4 Carbon 72.0 |
| CWE-bench v1High | High | 71.0% | — | Collinear AI / Artificial Analysis | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: official leaderboard (independent evaluation by Collinear AI / Artificial Analysis), programmatic pass@1transcribed from tableSource excerptCWE-bench v1: Gemini 4 Carbon 71.0 |
| ExploitGymHigh | High | 54.8% | — | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: self-measured. Antigravity harness, single trial, no internet, default 6-hour timeout (performance via Fairwind Program)transcribed from tableSource excerptExploitGym: Gemini 4 Carbon 54.8 | |
| SEC-bench ProHigh | High | 88.2% | — | Gemini 4 Carbon (Google DeepMind models page, benchmark table)official · Retrieved 2026-11-12 | Vendor-reported value. Google published table. methodology PDF: Gemini 4 Carbon/Argon used the highest Gemini API thinking setting, pass@1, and a single trial. Row-specific source: self-measured. 183 tasks (2026-05 JS engine split), mean Pass@1 over 3 trials, Antigravity harness (via Fairwind Program)transcribed from tableSource excerptSEC-bench Pro: Gemini 4 Carbon 88.2 | |
| GPQA DiamondHigh | High | 96.5% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, gpqa_diamond.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "Gemini 4 Carbon (high)". effort is indicated by the suffix _high in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptgpqa_diamond.csv: Model version=gemini-4-carbon_high, Best score (across scorers)=0.9652777777777778, stderr=0.01207061012675132, Started at=2026-11-02T23:17:42.000Z |
| FrontierMath Tiers 1-3(v2)High | High | 90.5% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tiers_1_3_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "Gemini 4 Carbon (high)". effort is indicated by the suffix _high in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptfrontiermath_tiers_1_3_v2.csv: Model version=gemini-4-carbon_high, Best score (across scorers)=0.9052631578947369, stderr=0.017377516319276178, Started at=2026-11-02T23:17:42.000Z |
| FrontierMath Tier 4(v2)High | High | 95.1% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, frontiermath_tier_4_v2.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "Gemini 4 Carbon (high)". effort is indicated by the suffix _high in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptfrontiermath_tier_4_v2.csv: Model version=gemini-4-carbon_high, Best score (across scorers)=0.9512195121951219, stderr=0.03405912205797303, Started at=2026-11-02T23:17:42.000Z |
| OTIS Mock AIME 2024-2025High | High | 100.0% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, otis_mock_aime_2024_2025.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "Gemini 4 Carbon (high)". effort is indicated by the suffix _high in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptotis_mock_aime_2024_2025.csv: Model version=gemini-4-carbon_high, Best score (across scorers)=1.0, stderr=0.0, Started at=2026-11-02T23:17:42.000Z |
| SimpleQA VerifiedHigh | High | 77.7% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, simpleqa_verified.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "Gemini 4 Carbon (high)". effort is indicated by the suffix _high in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptsimpleqa_verified.csv: Model version=gemini-4-carbon_high, Best score (across scorers)=0.777, stderr=0.013169830843425608, Started at=2026-11-02T23:17:42.000Z |
| Chess Puzzles(Epoch AI)High | High | 78.0% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, chess_puzzles.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "Gemini 4 Carbon (high)". effort is indicated by the suffix _high in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptchess_puzzles.csv: Model version=gemini-4-carbon_high, Best score (across scorers)=0.78, stderr=0.04163331998932266, Started at=2026-11-02T23:17:42.000Z |
| Epoch Capabilities Index(ECI)not stated | not stated | 169.76 | — | Epoch AI | Epoch AI, epoch_capabilities_index/eci_scores.csv (CC BY 4.0)third-party · Retrieved 2026-11-12 | A per-model metric that combines results across multiple benchmarks and multiple efforts (not per effort). Calculated by Epoch AI.transcribed from tableSource excerpteci_scores.csv: Model=Gemini 4 Carbon, eci=169.76, eci_ci_low=166.48, eci_ci_high=173.5 |
| LMArena Text (style control, overall)High | High | 1,526 | — | LMArena | lmarena-ai/leaderboard-dataset text_style_control/latest-00000-of-00001.parquet (CC BY 4.0)third-party · Retrieved 2026-11-12 | Human head-to-head votes (Bradley-Terry). Source label "Gemini 4 Carbon (High)" (effort is in parentheses in the label). Release date 2026-11-09.transcribed from tableSource excerptmodel_name=Gemini 4 Carbon (High), rating=1525.95, rating_lower=1516.4, rating_upper=1535.6, vote_count=4282, rank=1, category=overall, leaderboard_publish_date=2026-11-09 |
| LMArena Text Coding (without style control)High | High | 1,563 | — | LMArena | lmarena-ai/leaderboard-dataset text/latest-00000-of-00001.parquet (CC BY 4.0)third-party · Retrieved 2026-11-12 | Human head-to-head votes (Bradley-Terry). Source label "Gemini 4 Carbon (High)" (effort is in parentheses in the label). Release date 2026-11-09.transcribed from tableSource excerptmodel_name=Gemini 4 Carbon (High), rating=1563.41, rating_lower=1544.8, rating_upper=1582.0, vote_count=1072, rank=1, category=coding, leaderboard_publish_date=2026-11-09 |
Related rankings
- Overall ranking (all models, records)
- Terminal-Bench 4.0 ranking by metric (all models, records)
- Terminal-Bench-Science 0.1 ranking by metric (all models, records)
- FrontierCode 2.0 ranking by metric (all models, records)
- FrontierSWE 2 ranking by metric (all models, records)
- SWE-sweep ranking by metric (all models, records)
- AA-Briefcase v1.1(Elo) ranking by metric (all models, records)
- AA-Briefcase v1.1(rubric) ranking by metric (all models, records)
- AutomationBench ranking by metric (all models, records)
- OSWorld 2.1 (offline set, partial) ranking by metric (all models, records)
- Agents' Last Exam v1.1(rubric score) ranking by metric (all models, records)
- Chartography (without tools) ranking by metric (all models, records)
- Artificial Analysis Intelligence Index v5.0 ranking by metric (all models, records)
- Vals Index v2.2 ranking by metric (all models, records)
- Vending-Bench 2 ranking by metric (all models, records)
- Blueprint-Bench 2 ranking by metric (all models, records)
- GraphWalks BFS (256k to 1M) ranking by metric (all models, records)
- RiemannBench ranking by metric (all models, records)
- CWE-bench v1 ranking by metric (all models, records)
- ExploitGym ranking by metric (all models, records)
- SEC-bench Pro ranking by metric (all models, records)
- GPQA Diamond ranking by metric (all models, records)
- FrontierMath Tiers 1-3(v2) ranking by metric (all models, records)
- FrontierMath Tier 4(v2) ranking by metric (all models, records)
- OTIS Mock AIME 2024-2025 ranking by metric (all models, records)
- SimpleQA Verified ranking by metric (all models, records)
- Chess Puzzles(Epoch AI) ranking by metric (all models, records)
- Epoch Capabilities Index(ECI) ranking by metric (all models, records)
- LMArena Text (style control, overall) ranking by metric (all models, records)
- LMArena Text Coding (without style control) ranking by metric (all models, records)
- Recommendations by role
References
- https://aistudio.google.com/docs/pricing
- https://aistudio.google.com/docs/models
- https://aistudio.google.com/docs/thinking
- https://blog.google/innovation-and-ai/models-and-research/gemini-models/introducing-gemini-4-carbon/
- https://deepmind.google/models/gemini/
- https://storage.googleapis.com/deepmind-media/gemini/gemini_4_carbon_model_evaluation.pdf