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Claude Opus 4.7 vs Mistral Medium 3.5

Updated October 21, 2026. 69 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.7 Replace Mistral Medium 3.5
Claude Opus 4.7Anthropic
Coding
51.1
Overall
40.7
Output $/M
$25.00
67
Mistral Medium 3.5Mistral AI
Coding
9.2
Overall
14.2
Output $/M
$7.50
2
vs boards won of 69 shared

Decision reading

Pick Claude Opus 4.7 for coding: it scores 51.1 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 when output tokens cost 3.3x less, or when what matters is τ²-Bench Telecom or IFBench, where it leads.

Model AClaude Opus 4.7Anthropic51.1/1001 independent benchmark$2.95 per solved taskModel BMistral Medium 3.5Mistral AI9.2/1001 independent benchmark$6.02 per solved task
Shared results
69
Claude Opus 4.7 only
32
Mistral Medium 3.5 only
11
Like-for-like categories
7 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
Claude Opus 4.7 51.1 from 1 benchmark, Mistral Medium 3.5 9.2 from 1 benchmark.
Widest category
Coding, 32.1 points apart on average over 11 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.7 71.0% against Mistral Medium 3.5 2.9%, 68.1 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.7 $25.00 against Mistral Medium 3.5 $7.50 per million output tokens, 3.3x apart.
Context window
Claude Opus 4.7 takes 1M tokens, Mistral Medium 3.5 262K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryClaude Opus 4.7BarsMistral Medium 3.5Ties
Coding110
Intelligence20
Agentic work51
Reasoning80
Math30
Knowledge100
General281
All shared boards672
CodingLike-for-likeFour of these boards feed the Vibe Coding Index110
Coding benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
LMArena WebDev15581264Claude Opus 4.7
AA Coding Index73.646.9Claude Opus 4.7
LiveCodeBench (Vals AI)85.1%Not measuredOnly Claude Opus 4.7 measured
SWE-bench Verified (Vals AI)82.0%66.4%Claude Opus 4.7
Vibe Code Bench (Vals AI)71.0%2.9%Claude Opus 4.7
Code migration (Vals AI)43.9%5.1%Claude Opus 4.7
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Opus 4.7 measured
Terminal-Bench 2.1 (Vals AI)68.5%39.0%Claude Opus 4.7
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)54.5%33.3%Claude Opus 4.7
Terminal-Bench80.2%Not measuredOnly Claude Opus 4.7 measured
FrontierCode38.5%Not measuredOnly Claude Opus 4.7 measured
GSO-Bench44.1%Not measuredOnly Claude Opus 4.7 measured
WeirdML76.4%Not measuredOnly Claude Opus 4.7 measured
MirrorCode31.1%Not measuredOnly Claude Opus 4.7 measured
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding15191460Claude Opus 4.7
LMArena Text: software and IT15161458Claude Opus 4.7
LMArena WebDev: React15601254Claude Opus 4.7
LMArena WebDev: HTML15541308Claude Opus 4.7
LMArena WebDev: from an image1577Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 17 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
AA Intelligence Index40.714.2Claude Opus 4.7
Epoch Capabilities Index156.8141.4Claude Opus 4.7
Agentic workLike-for-likePublic boards, shown as published, kept out of the index51
Agentic work benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
AA Agentic Index38.67.0Claude Opus 4.7
Finance Agent (Vals AI)51.5%32.1%Claude Opus 4.7
Tax Agent Bench (Vals AI)23.7%4.5%Claude Opus 4.7
Legal Research Bench (Vals AI)38.5%9.1%Claude Opus 4.7
Excel Modeling Benchmark (Vals AI)63.7%11.2%Claude Opus 4.7
τ²-Bench Telecom88.6%94.2%Mistral Medium 3.5
APEX-Agents49.2%Not measuredOnly Claude Opus 4.7 measured
OSWorld 2.018.2%Not measuredOnly Claude Opus 4.7 measured
PostTrainBench28.6%Not measuredOnly Claude Opus 4.7 measured
Vending-Bench 2$10,937Not measuredOnly Claude Opus 4.7 measured
LMArena Search1230Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
GPQA Diamond90.2%34.9%Claude Opus 4.7
MMMU Pro (Vals AI)85.5%Not measuredOnly Claude Opus 4.7 measured
GPQA Diamond (Artificial Analysis run)91.4%74.8%Claude Opus 4.7
Humanity's Last Exam (Artificial Analysis run)42.3%13.8%Claude Opus 4.7
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI93.5%Not measuredOnly Claude Opus 4.7 measured
ARC-AGI-275.8%Not measuredOnly Claude Opus 4.7 measured
SimpleBench61.7%Not measuredOnly Claude Opus 4.7 measured
Chess puzzles41.0%Not measuredOnly Claude Opus 4.7 measured
Mystery game puzzles28.0%Not measuredOnly Claude Opus 4.7 measured
EBR-bench19.0%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: hard prompts15061436Claude Opus 4.7
LMArena Text: expert15211432Claude Opus 4.7
LMArena Text: hard prompts in English15081445Claude Opus 4.7
LMArena Vision: diagrams13361254Claude Opus 4.7
LMArena Vision: homework13371230Claude Opus 4.7
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
AIME96.3%Not measuredOnly Claude Opus 4.7 measured
OTIS Mock AIME97.8%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tiers 1 to 370.2%Not measuredOnly Claude Opus 4.7 measured
FrontierMath, tier 431.7%Not measuredOnly Claude Opus 4.7 measured
ProofBench54.0%9.0%Claude Opus 4.7
LMArena Text: math14981431Claude Opus 4.7
LMArena Text: mathematical work15091440Claude Opus 4.7
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
MMLU Pro89.9%75.3%Claude Opus 4.7
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.7 measured
CaseLaw (Vals AI)68.4%44.2%Claude Opus 4.7
CorpFin (Vals AI)66.1%58.8%Claude Opus 4.7
TaxEval (Vals AI)75.3%68.0%Claude Opus 4.7
MortgageTax (Vals AI)70.3%28.9%Claude Opus 4.7
MedCode (Vals AI)54.9%33.8%Claude Opus 4.7
SimpleQA Verified51.7%Not measuredOnly Claude Opus 4.7 measured
LMArena Text: science15081428Claude Opus 4.7
LMArena Text: medicine and healthcare14951409Claude Opus 4.7
LMArena Text: legal and government15041437Claude Opus 4.7
LMArena Text: business and finance14901426Claude Opus 4.7
Neither model has a result on the other 5 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Web design benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
Design Arena: websitesNot measured1142Only Mistral Medium 3.5 measured
Design Arena: UI componentsNot measured1079Only Mistral Medium 3.5 measured
Design Arena: game devNot measured1079Only Mistral Medium 3.5 measured
Design Arena: data vizNot measured1120Only Mistral Medium 3.5 measured
Design Arena: 3DNot measured1061Only Mistral Medium 3.5 measured
Design Arena: all code categoriesNot measured1122Only Mistral Medium 3.5 measured
Design Arena: SVGNot measured949Only Mistral Medium 3.5 measured
Design Arena: ASCII artNot measured1062Only Mistral Medium 3.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index281
General benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
SAGE (Vals AI)56.1%37.6%Claude Opus 4.7
MedScribe (Vals AI)83.0%67.7%Claude Opus 4.7
Vals Multimodal Index67.4%34.8%Claude Opus 4.7
IFBench58.6%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)78.7%69.3%Claude Opus 4.7
DTBench94.7%75.5%Claude Opus 4.7
LMCA52.2%26.1%Claude Opus 4.7
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
Furniture assembly33.3%Not measuredOnly Claude Opus 4.7 measured
ExploitBench26.5%Not measuredOnly Claude Opus 4.7 measured
LMArena Text14901421Claude Opus 4.7
LMArena Text: instruction following14981415Claude Opus 4.7
LMArena Text: creative writing14861374Claude Opus 4.7
LMArena Vision13171222Claude Opus 4.7
LMArena Text: English14961433Claude Opus 4.7
LMArena Text: non-English14801404Claude Opus 4.7
LMArena Text: Chinese15311444Claude Opus 4.7
LMArena Text: German14951453Claude Opus 4.7
LMArena Text: Japanese1474Not measuredOnly Claude Opus 4.7 measured
LMArena Text: Korean14641384Claude Opus 4.7
LMArena Text: French15031448Claude Opus 4.7
LMArena Text: Spanish14941411Claude Opus 4.7
LMArena Text: Russian14941395Claude Opus 4.7
LMArena Text: Polish14891430Claude Opus 4.7
LMArena Text: multi-turn15051423Claude Opus 4.7
LMArena Text: longer queries15051415Claude Opus 4.7
LMArena Text: writing and language14921384Claude Opus 4.7
LMArena Text: entertainment and media14741382Claude Opus 4.7
LMArena Vision: English13221240Claude Opus 4.7
LMArena Vision: Chinese13711244Claude Opus 4.7
LMArena Vision: reading text13271233Claude Opus 4.7
LMArena Vision: humor13091216Claude Opus 4.7
LMArena Vision: recognizing things1278Not measuredOnly Claude Opus 4.7 measured
LMArena Vision: creative writing13261198Claude Opus 4.7
LMArena Document1495Not measuredOnly Claude Opus 4.7 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.7 and Mistral Medium 3.5
BenchmarkClaude Opus 4.7Mistral Medium 3.5Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

Claude Opus 4.7$0.018Fits in one request
Mistral Medium 3.5$0.0053Fits in one request

Mistral Medium 3.5 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.7$0.325Fits in one request
Mistral Medium 3.5$0.098Fits in one request

Mistral Medium 3.5 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.7$1.25Fits in one request
Mistral Medium 3.5$0.375Fits in one request

Mistral Medium 3.5 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of Claude Opus 4.7 and Mistral Medium 3.5
SpecificationAnthropic Claude Opus 4.7Mistral Medium 3.5
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedApril 16, 2026April 30, 2026
Context window1M262K
Input $/Mtok$5.00$1.50
Output $/Mtok$25.00$7.50
Coding index51.19.2
Independent measurements behind it11
Cost per solved task$2.95$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.7 better than Mistral Medium 3.5 for coding?

Pick Claude Opus 4.7 for coding: it scores 51.1 on the Vibe Coding Index against 9.2 for Mistral Medium 3.5. Pick Mistral Medium 3.5 when output tokens cost 3.3x less, or when what matters is τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, Claude Opus 4.7 or Mistral Medium 3.5?

Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Mistral Medium 3.5 costs $1.50 and $7.50. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Claude Opus 4.7 or Mistral Medium 3.5?

Claude Opus 4.7, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.7 vs Mistral Medium 3.5 comparison based on?

69 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 1 independent benchmark and Mistral Medium 3.5's on 1. Where only one model has a result, the page says so instead of naming a winner.

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