# Claude Opus 4.7 (Adaptive) vs Mistral Medium 3.5 128B

> Side-by-side benchmark comparison for Claude Opus 4.7 (Adaptive) and Mistral Medium 3.5 128B across agentic, coding, multimodal, knowledge, reasoning, multilingual, and math tasks.

- Canonical page: https://benchlm.ai/compare/claude-opus-4-7-adaptive-vs-mistral-medium-3-5-128b
- Last updated: September 10, 2026

- Shared sourced benchmarks: 1
- HTML indexing: indexable
- Ranking lane: BenchAlign v5

## Quick Verdict

Evidence is too thin for a benchmark verdict: Claude Opus 4.7 (Adaptive) and Mistral Medium 3.5 128B share only 1 sourced benchmark row.

## Summary

- Only 1 shared sourced benchmark row is available. That is not enough for a broad capability verdict, so this mirror does not name an overall winner.
- Mistral Medium 3.5 128B has the lower published output-token price.
- Claude Opus 4.7 (Adaptive) has the larger published context window at 1M.

## Model Snapshot

| Property | Claude Opus 4.7 (Adaptive) | Mistral Medium 3.5 128B |
|----------|----------|----------|
| Creator | Anthropic | Mistral |
| Type | Proprietary | Open Weight |
| Reasoning | Reasoning | Reasoning |
| Context | 1M | 256K |
| Independent public score (not head-to-head) | 69.1 | 30.13 |
| Benchmarks Covered | 21 | 7 |
| Pricing (input/output) | $5.00 / $25.00 | $1.50 / $7.50 |

## Category Breakdown

### Agentic

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 57.4 (Supported · #31/152)
- Mistral Medium 3.5 128B public-lane score: 21.9 (Supported · #150/152)

| Benchmark | Claude Opus 4.7 (Adaptive) | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| BrowseComp | 79.3% | Coming soon | Coming soon |
| MCP Atlas | 77.3% | Coming soon | Coming soon |
| OSWorld-Verified | 78% | Coming soon | Coming soon |
| CyberGym | 73.1% | Coming soon | Coming soon |
| OSWorld 2.0 | 18.2% | Coming soon | Coming soon |
| JobBench | 45.9% | Coming soon | Coming soon |
| τ³-bench results | Coming soon | 91.4% | Coming soon |
| Gert Labs | Coming soon | 39.10% | Coming soon |
| Terminal-Bench 2.1 (Vals) | Coming soon | 39.0% | Coming soon |

### Coding

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 57.6 (Estimated · #31/151)
- Mistral Medium 3.5 128B public-lane score: 36.9 (Estimated · #127/151)

| Benchmark | Claude Opus 4.7 (Adaptive) | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| SWE-bench Verified | 87.6% | 77.6% | Claude Opus 4.7 (Adaptive) |
| SWE-bench Pro | 64.3% | Coming soon | Coming soon |
| Terminal-Bench 2.0 | 69.4% | Coming soon | Coming soon |
| SWE-bench (Vals) | Coming soon | 66.4% | Coming soon |

### Multimodal & Grounded

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 50.3 (#36/48)
- Mistral Medium 3.5 128B public-lane score: 55.6 (Unranked · 1 rankable row)

| Benchmark | Claude Opus 4.7 (Adaptive) | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| OfficeQA Pro | 43.6% | Coming soon | Coming soon |
| CharXiv | 91% | Coming soon | Coming soon |
| CharXiv w/o tools | 82.1% | Coming soon | Coming soon |

### Reasoning

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 49.7 (Unranked · 3 rankable rows)
- Mistral Medium 3.5 128B public-lane score: 68.6 (Unranked · 2 rankable rows)

| Benchmark | Claude Opus 4.7 (Adaptive) | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| MRCR v2 128K-256K | 59.2% | Coming soon | Coming soon |
| ARC-AGI-2 | 75.8% | Coming soon | Coming soon |
| ARC-AGI-3 | 0.2% | Coming soon | Coming soon |

### Knowledge

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: 61.1 (Estimated · #33/183)
- Mistral Medium 3.5 128B public-lane score: 39 (Supported · #140/183)

| Benchmark | Claude Opus 4.7 (Adaptive) | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| GPQA | 94.2% | Coming soon | Coming soon |
| GPQA-D | 94.2% | Coming soon | Coming soon |
| HLE | 54.7% | Coming soon | Coming soon |
| HLE w/o tools | 46.9% | Coming soon | Coming soon |
| GPQA Diamond (Vals) | Coming soon | 34.8% | Coming soon |
| MMLU-Pro (Vals) | Coming soon | 75.3% | Coming soon |

### Instruction Following

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- Mistral Medium 3.5 128B public-lane score: 84 (#48/123)

### Mathematics

- Winner: Insufficient shared evidence
- Claude Opus 4.7 (Adaptive) public-lane score: Coming soon
- Mistral Medium 3.5 128B public-lane score: Coming soon

| Benchmark | Claude Opus 4.7 (Adaptive) | Mistral Medium 3.5 128B | Winner |
|-----------|-----------|-----------|--------|
| FrontierMath (legacy) | 43.8% | Coming soon | Coming soon |

## FAQ

### Is there enough evidence to pick between Claude Opus 4.7 (Adaptive) and Mistral Medium 3.5 128B?

Not yet. The models share only 1 sourced benchmark row, so this mirror reports the available measurements and metadata without naming a broad winner.

### What can I compare safely on this page?

Published pricing, context windows, model type, and individual shared benchmark rows are directly comparable. Independent overall scores and non-overlapping benchmark coverage are labeled separately and should not be read as a controlled head-to-head result.

## Related Comparisons

- [Claude Opus 4.7 (Adaptive) vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-claude-opus-4-7-adaptive)
- [Mistral Medium 3.5 128B vs Claude Opus 4.7](/compare/claude-opus-4-7-vs-mistral-medium-3-5-128b)
- [Claude Opus 4.7 (Adaptive) vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-claude-opus-4-7-adaptive)
- [Mistral Medium 3.5 128B vs Claude Fable 5.1](/compare/claude-fable-5-1-vs-mistral-medium-3-5-128b)

## Explore More

- [Claude Opus 4.7 (Adaptive) profile](/models/claude-opus-4-7-adaptive)
- [Mistral Medium 3.5 128B profile](/models/mistral-medium-3-5-128b)
- [Compare Pricing](/llm-pricing)
- [Alternative Finder](/tools/alternative-finder)
- [LLM Selector](/tools/llm-selector)
- [Overall Rankings](/best/overall)