Model comparison
Claude Opus 4.5 Thinking vs Mistral Medium 3.5 128B
Head-to-head evidence from 12 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.5 Thinking #77 (Estimated); Mistral Medium 3.5 128B unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.5 Thinking and Mistral Medium 3.5 128B share 12 comparable benchmark results. 0 of 8 categories are comparable. 4 results are unique to Claude Opus 4.5 Thinking; 13 to Mistral Medium 3.5 128B.
Updated July 27, 2026- Shared results
- 12
- Claude Opus 4.5 Thinking only
- 4
- Mistral Medium 3.5 128B only
- 13
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.5 Thinking and Mistral Medium 3.5 128B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 12 shared benchmark results across 6 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Mistral Medium 3.5 128B has the larger context window at 256K, compared with 200K for Claude Opus 4.5 Thinking.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Opus 4.5 Thinking | Δ | Mistral Medium 3.5 128B |
|---|---|---|---|
| Coding | Claude Opus 4.5 ThinkingNot measured | MarginNo overlap | Mistral Medium 3.5 128B77.6 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.5 Thinking | Mistral Medium 3.5 128B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.5 ThinkingNot available | Mistral Medium 3.5 128B$1.5 input / $7.5 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Opus 4.5 ThinkingNot available | Mistral Medium 3.5 128BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.5 ThinkingNot available | Mistral Medium 3.5 128BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.5 Thinking200K | Mistral Medium 3.5 128B256K | Mistral Medium 3.5 128B lists the larger context window. |
Benchmark Deep Dive
Agentic11 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 89.5% | 94.2% | Mistral Medium 3.5 128B leads |
| τ³-bench resultsSource | — | 91.4% | Not comparable |
| AA Agentic IndexSource | — | 19.0% | Not comparable |
| GDPval-AASource | — | 21.6% | Not comparable |
| GDPval-AASource | — | 933 | Not comparable |
| Gert LabsSource | — | 39.10% | Not comparable |
| AA EnterpriseOps-GymSource | — | 33.7% | Not comparable |
| AA Harvey LABSource | — | 69.1% | Not comparable |
| terminalBenchHardSource | — | 33.3% | Not comparable |
| AA BriefcaseSource | — | 516 | Not comparable |
| AA Tau3 BankingSource | — | 14.4% | Not comparable |
Coding4 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 40.8% | 29.9% | Claude Opus 4.5 Thinking leads |
| AA-GPQA DiamondSource | 86.6% | 74.8% | Claude Opus 4.5 Thinking leads |
| AA-HLESource | 28.4% | 12.8% | Claude Opus 4.5 Thinking leads |
| AA-Omniscience IndexSource | 13.3% | -36.3% | Claude Opus 4.5 Thinking leads |
| AA-Omniscience AccuracySource | 45.7% | 25.1% | Claude Opus 4.5 Thinking leads |
| AA-Omniscience Hallucination RateSource | 59.8% | 82.0% | Claude Opus 4.5 Thinking leads |
| AA MMLU-ProSource | 89.5% | — | Not comparable |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA Global-MMLU-LiteSource | 91.3% | — | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.5 Thinking | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA-IFBenchSource | 58.0% | 68.8% | Mistral Medium 3.5 128B leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.5 Thinking and Mistral Medium 3.5 128B on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for Claude Opus 4.5 Thinking and Mistral Medium 3.5 128B today?
Mistral Medium 3.5 128B: $1.50 input / $7.50 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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