Model comparison
Claude Opus 4.7 vs Mistral Medium 3.5 128B
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.7 #15 (Supported); 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 4.7 and Mistral Medium 3.5 128B share 13 comparable benchmark results. 0 of 8 categories are comparable. 8 results are unique to Claude Opus 4.7; 12 to Mistral Medium 3.5 128B.
Updated July 27, 2026- Shared results
- 13
- Claude Opus 4.7 only
- 8
- Mistral Medium 3.5 128B only
- 12
- Comparable categories
- 0 / 8
Benchmark data for Claude Opus 4.7 and Mistral Medium 3.5 128B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 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.
Claude Opus 4.7 is priced at $5.00 input / $25.00 output per 1M tokens, versus $1.50 input / $7.50 output per 1M tokens for Mistral Medium 3.5 128B. Claude Opus 4.7 has the larger context window at 1M, compared with 256K for Mistral Medium 3.5 128B.
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 4.7 | Δ | Mistral Medium 3.5 128B |
|---|---|---|---|
| Coding | Claude Opus 4.7Not measured | MarginNo overlap | Mistral Medium 3.5 128B77.6 |
| Math | Claude Opus 4.738.6 | MarginNo overlap | Mistral Medium 3.5 128BNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.7 | Mistral Medium 3.5 128B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.7$5 input / $25 output | Mistral Medium 3.5 128B$1.5 input / $7.5 output | Mistral Medium 3.5 128B has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.7Not available | Mistral Medium 3.5 128BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.7Not available | Mistral Medium 3.5 128BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.71M | Mistral Medium 3.5 128B256K | Claude Opus 4.7 lists the larger context window. |
Benchmark Deep Dive
Agentic13 benchmarks
| Benchmark | Claude Opus 4.7 | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| τ²-bench resultsSource | 74% | 94.2% | Mistral Medium 3.5 128B leads |
| Gert LabsSource | 65.59% | 39.10% | Claude Opus 4.7 leads |
| ResearchClawBenchSource | 20.7% | — | Not comparable |
| OSWorld 2.0Source | 13.9% | — | Not comparable |
| 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 |
| 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 |
Coding6 benchmarks
| Benchmark | Claude Opus 4.7 | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| Vibe Code BenchSource | 71.00% | — | Not comparable |
| React Native EvalsSource | 82.8% | — | Not comparable |
| AA-SciCodeSource | 50.1% | 39.6% | Claude Opus 4.7 leads |
| FrontierCode 1.1 MainSource | 38.5% | — | Not comparable |
| SWE-bench VerifiedSource | — | 77.6% | Not comparable |
| AA Coding IndexSource | — | 46.9% | Not comparable |
Reasoning2 benchmarks
Knowledge7 benchmarks
| Benchmark | Claude Opus 4.7 | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 42.7% | 29.9% | Claude Opus 4.7 leads |
| AA-GPQA DiamondSource | 88.5% | 74.8% | Claude Opus 4.7 leads |
| AA-HLESource | 31.2% | 12.8% | Claude Opus 4.7 leads |
| AA-Omniscience IndexSource | 14.2% | -36.3% | Claude Opus 4.7 leads |
| AA-Omniscience AccuracySource | 43.5% | 25.1% | Claude Opus 4.7 leads |
| AA-Omniscience Hallucination RateSource | 51.9% | 82.0% | Claude Opus 4.7 leads |
| AA Openness IndexSource | — | 33.3% | Not comparable |
Math2 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.7 | Mistral Medium 3.5 128B | Result |
|---|---|---|---|
| AA-IFBenchSource | 43.6% | 68.8% | Mistral Medium 3.5 128B leads |
Frequently Asked Questions (3)
Can I compare Claude Opus 4.7 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 4.7 and Mistral Medium 3.5 128B today?
Claude Opus 4.7: $5.00 input / $25.00 output per 1M tokens 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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