Gemini 4 Argon
- 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
- 37total
- Benchmark types: 36
Model information
- API model ID
- gemini-4-argon
- release date
- 2026-09-30
- 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
- Support in Claude Code / Codex is not explicitly stated officially (Gemini API, AI Studio, Antigravity, etc. are official routes). 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://aistudio.google.com/docs/models
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 (through 2026-11-30). From 2026-12-01: input $4.00 / output $20.00 / cache $0.20. releaseDate is the announcement date (initially limited to the Fairwind Program); available to developers on 2026-10-13
Gemini 4 Argon gemini-4-argon Input $2.00 → $4.00 / 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 4.0not stated | not stated | 57.4% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not stated. Distinct from the AA measured value of 57.1% on the DeepMind Gemini pagetranscribed from tableSource excerptTerminal-bench 4.0 | 57.4% | |
| Terminal-Bench 4.0High | High | 57.1% | — | 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 Argon 57.1 |
| Terminal-Bench-Science 0.1High | High | 52.9% | — | 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 Argon 52.9 |
| FrontierSWE 2High | High | 55.0% | — | 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 Argon 55.0 |
| DeepSWE v1.1not stated | not stated | 77.9% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptDeepSWE v1.1 | 77.9% | |
| AutomationBenchHigh | High | 51.3% | — | 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 Argon 51.3 |
| OSWorld 2.1 (offline set, partial)High | High | 74.7% | — | 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 Argon 74.7 | |
| OSWorld 2.0not stated | not stated | 69.2% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptOSWorld-2.0 Offline subset, partial score | 69.2% | |
| Agents' Last Exam v1.1(rubric score)High | High | 69.0% | — | 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 Argon 69.0 | |
| Agents' Last Exam (pass rate, version not stated)not stated | not stated | 39.5% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not stated. The metric is Pass rate (distinct from rubric Score 69.0% in the Carbon comparison table); version not statedtranscribed from tableSource excerptAgent's Last Exam (Pass rate) | 39.5% | |
| Chartography (without tools)High | High | 71.6% | — | 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 Argon 71.6 |
| Artificial Analysis Intelligence Index v5.0High | High | 50 | — | 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 Argon 50 |
| Vals Index v2.2High | High | 69.2% | — | 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 Argon 69.2 |
| Vending-Bench 2High | High | 13,718 | — | 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 Argon 13718 |
| Blueprint-Bench 2High | High | 54.4% | — | 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 Argon 54.4 |
| GraphWalks BFS (256k to 1M)High | High | 84.2% | — | 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 Argon 84.2 | |
| GraphWalks BFS (128k or less)not stated | not stated | 99.7% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptGraphWalks Up to 128k, BFS (F1) | 99.7% | |
| RiemannBenchHigh | High | 76.0% | — | 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 Argon 76.0 |
| CWE-bench v1High | High | 68.0% | — | 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 Argon 68.0 |
| ExploitGymHigh | High | 42.0% | — | 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 Argon 42.0 | |
| SEC-bench ProHigh | High | 83.4% | — | 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. 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 Argon 83.4 | |
| Vals Finance Agent v2not stated | not stated | 65.4% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptVals Finance Agent v2 | 65.4% | |
| Harvey Legal Agent Benchmarknot stated | not stated | 19.6% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptHarvey's Legal Agent Benchmark | 19.6% | |
| Vibe Code Benchnot stated | not stated | 91.9% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptVibe Code Bench | 91.9% | |
| PostTrainBenchnot stated | not stated | 45.3% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptPostTrainBench | 45.3% | |
| LABBench 2not stated | not stated | 88.8% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptLABBench 2 | 88.8% | |
| LVBenchnot stated | not stated | 91.7% | — | Gemini 4 Argon model cardofficial · Retrieved 2026-11-12 | Vendor-reported value. Self-reported by Google (model card, as of 2026-10). thinking setting not statedtranscribed from tableSource excerptLVBench | 91.7% | |
| GPQA DiamondHigh | High | 96.4% | — | 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 Argon (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-argon_high, Best score (across scorers)=0.9640151515151515, stderr=0.011918129589602694, Started at=2026-10-13T17:15:08.000Z |
| FrontierMath Tiers 1-3(v2)High | High | 86.0% | — | 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 Argon (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-argon_high, Best score (across scorers)=0.8596491228070176, stderr=0.020611471958164294, Started at=2026-10-13T17:14:57.000Z |
| FrontierMath Tier 4(v2)High | High | 78.1% | — | 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 Argon (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-argon_high, Best score (across scorers)=0.7804878048780488, stderr=0.06544589202438408, Started at=2026-10-13T17:14:57.000Z |
| 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 Argon (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-argon_high, Best score (across scorers)=1.0, stderr=0.0, Started at=2026-10-13T17:14:57.000Z |
| SimpleQA VerifiedHigh | High | 76.0% | — | 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 Argon (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-argon_high, Best score (across scorers)=0.76, stderr=0.013512312258920845, Started at=2026-10-13T17:15:14.000Z |
| Chess Puzzles(Epoch AI)High | High | 59.0% | — | 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 Argon (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-argon_high, Best score (across scorers)=0.59, stderr=0.04943110704237103, Started at=2026-10-13T17:15:18.000Z |
| MirrorCodeHigh | High | 58.9% | — | Epoch AI | Epoch AI, Capabilities & benchmarking (benchmark_data.zip, mirrorcode.csv) CC BY 4.0third-party · Retrieved 2026-11-12 | Run by Epoch AI (third-party measurement). Source label "Gemini 4 Argon (high)". effort is indicated by the suffix _high in Epoch's Model version. Data retrieved 2026-11-12.transcribed from tableSource excerptmirrorcode.csv: Model version=gemini-4-argon_high, Best score (across scorers)=0.5888888888888889, stderr=0.1171381252539371, Started at=2026-10-14T10:00:34.000Z |
| Epoch Capabilities Index(ECI)not stated | not stated | 166.48 | — | 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 Argon, eci=166.48, eci_ci_low=163.77, eci_ci_high=169.46 |
| LMArena Text (style control, overall)High | High | 1,522 | — | 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 Argon (High)" (effort is in parentheses in the label). Release date 2026-11-09.transcribed from tableSource excerptmodel_name=Gemini 4 Argon (High), rating=1522.38, rating_lower=1516.9, rating_upper=1527.9, vote_count=19787, rank=2, category=overall, leaderboard_publish_date=2026-11-09 |
| LMArena Text Coding (without style control)High | High | 1,540 | — | 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 Argon (High)" (effort is in parentheses in the label). Release date 2026-11-09.transcribed from tableSource excerptmodel_name=Gemini 4 Argon (High), rating=1540.03, rating_lower=1530.5, rating_upper=1549.6, vote_count=4614, rank=3, 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)
- FrontierSWE 2 ranking by metric (all models, records)
- DeepSWE v1.1 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)
- OSWorld 2.0 ranking by metric (all models, records)
- Agents' Last Exam v1.1(rubric score) ranking by metric (all models, records)
- Agents' Last Exam (pass rate, version not stated) 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)
- GraphWalks BFS (128k or less) 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)
- Vals Finance Agent v2 ranking by metric (all models, records)
- Harvey Legal Agent Benchmark ranking by metric (all models, records)
- Vibe Code Bench ranking by metric (all models, records)
- PostTrainBench ranking by metric (all models, records)
- LABBench 2 ranking by metric (all models, records)
- LVBench 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)
- MirrorCode 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/gemini-4-argon/
- https://blog.google/innovation-and-ai/technology/developers-tools/build-with-gemini-4-argon/
- https://deepmind.google/models/model-cards/gemini-4-argon