Claude Opus 4.5
- Input price
- $5.00
- Per 1 million tokens (USD)
- Output price
- $25.00
- Per 1 million tokens (USD)
- Effort levels
- 3total
- Default: High
- Benchmark results
- 8total
- Benchmark types: 8
Model information
- API model ID
- claude-opus-4-5-20251101
- release date
- Unknown
- effort
- Low / Med / High (default)
- Effort source
- Based on Anthropic effort documentation (platform.claude.com/docs/en/build-with-claude/effort).
- Claude Code
- unknown
- Codex
- unavailable
- Availability notes
- Opus 4.5 is absent from the Claude Code model settings page (checked 2026-11-12), and whether it can be selected could not be confirmed, so claudeCode is null. effort is included in supportedModels but absent from the xhigh/max support list, and is used with budget_tokens (extended thinking). The default effort is based on "Most Claude models default to high". Codex's official model list (learn.chatgpt.com/docs/models) contains only OpenAI models, so codex is false (connections via a custom provider are not counted as official options).
- Availability source
- https://code.claude.com/docs/en/model-config
Price (USD per 1 million tokens)
Prices do not vary by effort; token consumption does.
| input | $5.00 |
|---|---|
| output | $25.00 |
| cache read | $0.50 |
| cache write | $6.25 |
cacheWritePerMTok is for a 5-minute cache write. 1h write $10. 200K context.
Claude Opus 4.5 | $5 / MTok | $6.25 / MTok | $10 / MTok | $0.50 / MTok | $25 / MTokSource: https://platform.claude.com/docs/en/about-claude/pricing
Benchmark results
| Benchmark | effort | Score | Source cost (metric) | measured/reported by | source | Conditions and extraction method |
|---|---|---|---|---|---|---|
| GPQA Diamondnot stated | not stated | 80.7% | — | 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 "Claude Opus 4.5 (no thinking)". No effort suffix in Model version. Data retrieved 2026-11-12. No effort because effort is not stated in the source.transcribed from tableSource excerptgpqa_diamond.csv: Model version=claude-opus-4-5-20251101, Best score (across scorers)=0.8068181818181818, stderr=0.023909479653766753, Started at=2025-11-24T19:57:20.151ZLocation gpqa_diamond.csv, data row 205 (file line 295), id=mEkZaYpiurQ6TEMAALK3su, Model version=claude-opus-4-5-20251101 |
| OTIS Mock AIME 2024-2025not stated | not stated | 48.1% | — | 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 "Claude Opus 4.5 (no thinking)". No effort suffix in Model version. Data retrieved 2026-11-12. No effort because effort is not stated in the source.transcribed from tableSource excerptotis_mock_aime_2024_2025.csv: Model version=claude-opus-4-5-20251101, Best score (across scorers)=0.48055555555555557, stderr=0.06405336755004033, Started at=2025-11-24T20:47:49.364ZLocation otis_mock_aime_2024_2025.csv, data row 211 (file line 307), id=nSb2focDRMyPJXErk3MV94, Model version=claude-opus-4-5-20251101 |
| Chess Puzzles(Epoch AI)not stated | not stated | 5.0% | — | 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 "Claude Opus 4.5 (no thinking)". No effort suffix in Model version. Data retrieved 2026-11-12. No effort because effort is not stated in the source.transcribed from tableSource excerptchess_puzzles.csv: Model version=claude-opus-4-5-20251101, Best score (across scorers)=0.05, stderr=0.021904291355759033, Started at=2026-10-13T13:42:24.000ZLocation chess_puzzles.csv, data row 103 (file line 157), id=4afZ2hjLiJnPy5pD7TfE3K, Model version=claude-opus-4-5-20251101 |
| Epoch Capabilities Index(ECI)not stated | not stated | 151.92 | — | 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=Claude Opus 4.5, eci=151.92, eci_ci_low=150.32, eci_ci_high=153.58Location epoch_capabilities_index/eci_scores.csv, data row 61 (file line 62), Model=Claude Opus 4.5 |
| τ²-bench airline (v1.0.1)High (default) | High | 84.0% | $0.40Average cost in USD to run one trajectory in this domain | Sierra | τ²-bench leaderboard submission claude-opus-4-5_sierra_2026-02-26 (sierra-research/tau2-bench, MIT)third-party · Retrieved 2026-11-13 | τ²-bench leaderboard submission claude-opus-4-5_sierra_2026-02-26 (submission_type standard, tau2_bench_version 1.0.1). Submitter "Sierra", model_organization "Anthropic": Run by Sierra, which operates τ²-bench (third-party measurement). Verified on the leaderboard (trajectories available, prompts not modified, no questions omitted). The value is pass^1 (%). reasoning_effort "high". User simulator gpt-5.2. 4 trial runs (based on "_gpt-5.2_4trials" in the trajectories filename). The notes and evaluation_date (2026-05-05) refer to banking_knowledge (AllTools) ("Banking_knowledge domain only"); the evaluation date, seed, and simulator effort for this domain are not stated.transcribed from tableSource excerptairline.pass_1=84.0; airline.cost=0.39919Location In submissions/claude-opus-4-5_sierra_2026-02-26/submission.json: results.airline.pass_1 (line 22 of file), results.airline.cost (line 26). model_name "Claude Opus 4.5". trajectory_files.airline (line 14), methodology.user_simulator (line 55). methodology.notes (line 56) and evaluation_date (line 53) refer to banking_knowledge (AllTools) |
| τ²-bench banking_knowledge (v1.0.1)High (default) | High | 24.7% | — | Sierra | τ²-bench leaderboard submission claude-opus-4-5_sierra_2026-02-26 (sierra-research/tau2-bench, MIT)third-party · Retrieved 2026-11-13 | τ²-bench leaderboard submission claude-opus-4-5_sierra_2026-02-26 (submission_type standard, tau2_bench_version 1.0.1). Submitter "Sierra", model_organization "Anthropic": Run by Sierra, which operates τ²-bench (third-party measurement). Verified on the leaderboard (trajectories available, prompts not modified, no questions omitted). The value is pass^1 (%). reasoning_effort "high". User simulator gpt-5.2 (reasoning_effort low). Search configuration retrieval_config "alltools". Evaluation date 2026-05-05. Notes summary: rescored on 2026-07-15 following a scoring correction in v1.0.1; 4 trial runs; seed 300.transcribed from tableSource excerptbanking_knowledge.pass_1=24.74Location In submissions/claude-opus-4-5_sierra_2026-02-26/submission.json: results.banking_knowledge.pass_1 (line 43 of file). model_name "Claude Opus 4.5". methodology.notes (line 56) |
| τ²-bench retail (v1.0.1)High (default) | High | 79.6% | $0.39Average cost in USD to run one trajectory in this domain | Sierra | τ²-bench leaderboard submission claude-opus-4-5_sierra_2026-02-26 (sierra-research/tau2-bench, MIT)third-party · Retrieved 2026-11-13 | τ²-bench leaderboard submission claude-opus-4-5_sierra_2026-02-26 (submission_type standard, tau2_bench_version 1.0.1). Submitter "Sierra", model_organization "Anthropic": Run by Sierra, which operates τ²-bench (third-party measurement). Verified on the leaderboard (trajectories available, prompts not modified, no questions omitted). The value is pass^1 (%). reasoning_effort "high". User simulator gpt-5.2. 4 trial runs (based on "_gpt-5.2_4trials" in the trajectories filename). The notes and evaluation_date (2026-05-05) refer to banking_knowledge (AllTools) ("Banking_knowledge domain only"); the evaluation date, seed, and simulator effort for this domain are not stated.transcribed from tableSource excerptretail.pass_1=79.61; retail.cost=0.38695Location In submissions/claude-opus-4-5_sierra_2026-02-26/submission.json: results.retail.pass_1 (line 29 of file), results.retail.cost (line 33). model_name "Claude Opus 4.5". trajectory_files.retail (line 15), methodology.user_simulator (line 55). methodology.notes (line 56) and evaluation_date (line 53) refer to banking_knowledge (AllTools) |
| τ²-bench telecom (v1.0.1)High (default) | High | 92.3% | $0.72Average cost in USD to run one trajectory in this domain | Sierra | τ²-bench leaderboard submission claude-opus-4-5_sierra_2026-02-26 (sierra-research/tau2-bench, MIT)third-party · Retrieved 2026-11-13 | τ²-bench leaderboard submission claude-opus-4-5_sierra_2026-02-26 (submission_type standard, tau2_bench_version 1.0.1). Submitter "Sierra", model_organization "Anthropic": Run by Sierra, which operates τ²-bench (third-party measurement). Verified on the leaderboard (trajectories available, prompts not modified, no questions omitted). The value is pass^1 (%). reasoning_effort "high". User simulator gpt-5.2. 4 trial runs (based on "_gpt-5.2_4trials" in the trajectories filename). The notes and evaluation_date (2026-05-05) refer to banking_knowledge (AllTools) ("Banking_knowledge domain only"); the evaluation date, seed, and simulator effort for this domain are not stated.transcribed from tableSource excerpttelecom.pass_1=92.32; telecom.cost=0.71992Location In submissions/claude-opus-4-5_sierra_2026-02-26/submission.json: results.telecom.pass_1 (line 36 of file), results.telecom.cost (line 40). model_name "Claude Opus 4.5". trajectory_files.telecom (line 16), methodology.user_simulator (line 55). methodology.notes (line 56) and evaluation_date (line 53) refer to banking_knowledge (AllTools) |
Related rankings
- Overall ranking (all models, records)
- GPQA Diamond ranking by metric (all models, records)
- OTIS Mock AIME 2024-2025 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)
- τ²-bench airline (v1.0.1) ranking by metric (all models, records)
- τ²-bench banking_knowledge (v1.0.1) ranking by metric (all models, records)
- τ²-bench retail (v1.0.1) ranking by metric (all models, records)
- τ²-bench telecom (v1.0.1) ranking by metric (all models, records)
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