Claude 4.5 Opus: benchmark scores, price and ranking
Claude 4.5 Opus from Anthropic ranks #21 of 743 LLMs on the LLMs Tiger aggregate benchmark score (54.5), based on 3 benchmark results captured up to 2026-10-13.
- Organisation
- Anthropic
- Type
- Frontier model
- Open weights
- No
- Released
- 2025-11-24 (source: curated)
- Aggregate rank
- #21 of 743 (score 54.5)
Relative to other models, Claude 4.5 Opus is strongest on SWE-bench Test (#1 of 11) and weakest on SWE-bench Multilingual (#3 of 11).
Across the 3 benchmarks where at least ten models are scored, Claude 4.5 Opus is in the top 10% on 1 and in the top half on 3.
Claude 4.5 Opus benchmark results
| Benchmark | Score | Rank | Source | Captured |
|---|---|---|---|---|
| SWE-bench Test | 52.6% | #1 of 11 | SWE-bench Test leaderboard | 2026-10-13 |
| SWE-bench Verified | 74.4% | #9 of 73 | SWE-bench Verified leaderboard | 2026-10-13 |
| SWE-bench Multilingual | 70.7% | #3 of 11 | SWE-bench Multilingual leaderboard | 2026-10-13 |
About Claude 4.5 Opus
Claude 4.5 Opus is a frontier model from Anthropic. It was released on 2025-11-24, according to the developer's announcement. No API price is listed for it yet. We hold 3 benchmark results for it across 2 areas, and 1 is in the top tenth of its board.
Where Claude 4.5 Opus stands
On our aggregate score, Claude 4.5 Opus is #21 of 743 ranked models, in the top fifty. Its score is 54.5; the scale is centred on 50, so it sits 4.5 points above the typical model. That beats 97% of the ranked field. Among the 70 ranked Anthropic models it is #8. The next one up is Claude 4 Sonnet at 54.5. The next one down is Claude 3.5-Sonnet-20241022 at 54.4.
Claude 4.5 Opus, benchmark by benchmark
SWE-bench Test is where Claude 4.5 Opus does best: 52.6%, first of 11. The next result is CodeAct v2.1 (claude-3-5-sonnet-20241022) at 29.4%, 23.2 points behind. It covers real GitHub issues resolved. The board median is 12.5%, so Claude 4.5 Opus is 40.1 points above it. Source: SWE-bench Test leaderboard, captured 2026-10-13.
On SWE-bench Verified, Claude 4.5 Opus reaches 74.4%. It ranks #9 of 73, ahead of 88% of the field, and 9.1 points behind Claude Opus 4.7 (max) at 83.5%. The results either side are Claude 4.6 Opus (75.6%) and Gemini 3 Pro Preview (74.2%). It covers real GitHub issues resolved. The board median is 56.4%, so Claude 4.5 Opus is 18.0 points above it. Source: SWE-bench Verified leaderboard, captured 2026-10-13.
Claude 4.5 Opus manages 70.7% on SWE-bench Multilingual, good for #3 of 11. Gemini 3 Flash leads at 72.7%, 2.0 points further up, and 73% of models sit below. The results either side are Claude 4.6 Opus (72.0%) and GLM-5 (69.7%). It covers real GitHub issues resolved. The board median is 68.3%, so Claude 4.5 Opus is 2.4 points above it. Source: SWE-bench Multilingual leaderboard, captured 2026-10-13.
Strengths and weaknesses
General knowledge and chat: strong, ahead of 82% of the field on average across 2 benchmarks. Its best board here is SWE-bench Test (#1 of 11) and its weakest is SWE-bench Multilingual (#3 of 11).
Release history
The Anthropic model released before it was Claude Haiku 4.5 (Thinking 32K) on 2025-10-15, which scores 47.7. The next one was Claude Opus 4.5 (128k thinking) on 2025-11-24, at 49.9.
Reading these numbers
The 3 scores on this page come from 3 sources: SWE-bench Multilingual leaderboard (1), SWE-bench Test leaderboard (1), SWE-bench Verified leaderboard (1). 2 of them come from an official leaderboard and 1 from datasets or third-party runs. With 3 results the aggregate rank can move a lot when one new score arrives.
Models ranked nearby
- #18 Muse Spark 1.3 (max) (55.1)
- #19 mimo-v2.6-pro (54.7)
- #20 Claude 4 Sonnet (54.5)
- #22 Claude 3.5-Sonnet-20241022 (54.4)
- #23 DeepSeek V4 Pro 0813 (max) (54.3)
- #24 GPT-5.3 Codex (xhigh) (54.3)
More from Anthropic
- Claude Opus 5.5 (max) (#1, 64.3)
- Claude Fable 5.1 (max) (#3, 61.9)
- Claude Sonnet 5.5 (max) (#4, 60.8)
- Claude Opus 5 (max) (#8, 60.0)
- Claude Fable 5 (max) (#9, 59.9)
- claude-opus-4-8-xhigh-effort (#14, 56.6)
Compare it on the live leaderboard → · How the aggregate score works