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Claude Opus 4.6 vs Mistral Medium 3.5

Claude Opus 4.6 leads Mistral Medium 3.5 on coding, 57.2 to 25.5 on the Vibe Coding Index, and Mistral Medium 3.5 costs 3.3x less per output token ($7.50 vs $25.00 per million). Updated October 21, 2026; 69 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace Mistral Medium 3.5
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
67
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
2
vs boards won of 69 shared

Claude Opus 4.6 or Mistral Medium 3.5: which to pick

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5.

Pick Mistral Medium 3.5 for output tokens 3.3x cheaper ($7.50 vs $25.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
69
Claude Opus 4.6 only
41
Mistral Medium 3.5 only
12
Like-for-like categories
8 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

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 4.6 57.2 from 4 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Coding, 29.4 points apart on average over 8 shared benchmarks.
Widest single gap
GPQA Diamond: Claude Opus 4.6 89.7% against Mistral Medium 3.5 34.9%, 54.8 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against Mistral Medium 3.5 $7.50 per million output tokens, 3.3x apart.
Context window
Claude Opus 4.6 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 4.6BarsMistral Medium 3.5Ties
Coding80
Intelligence20
Agentic work01
Reasoning90
Math30
Knowledge100
Web design80
General271
All shared boards672
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Opus 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral Medium 3.5Leader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev15471264Claude Opus 4.6
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%66.4%Claude Opus 4.6
Vibe Code Bench (Vals AI)57.6%2.9%Claude Opus 4.6
Code migration (Vals AI)Not measured5.1%Only Mistral Medium 3.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured39.0%Only Mistral Medium 3.5 measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)48.5%33.3%Claude Opus 4.6
Terminal-Bench79.8%Not measuredOnly Claude Opus 4.6 measured
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding15341460Claude Opus 4.6
LMArena Text: software and IT15271458Claude Opus 4.6
LMArena WebDev: React15391254Claude Opus 4.6
LMArena WebDev: HTML15591308Claude Opus 4.6
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 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 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral Medium 3.5Leader
AA Intelligence Index31.914.2Claude Opus 4.6
Epoch Capabilities Index155.7141.4Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Opus 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps1220Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building mobile apps1207Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1196Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
Finance Agent (Vals AI)Not measured32.1%Only Mistral Medium 3.5 measured
Tax Agent Bench (Vals AI)Not measured4.5%Only Mistral Medium 3.5 measured
Legal Research Bench (Vals AI)Not measured9.1%Only Mistral Medium 3.5 measured
Excel Modeling Benchmark (Vals AI)Not measured11.2%Only Mistral Medium 3.5 measured
τ²-Bench Telecom92.1%94.2%Mistral Medium 3.5
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 25 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index90
Reasoning benchmarks for Claude Opus 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral Medium 3.5Leader
GPQA Diamond89.7%34.9%Claude Opus 4.6
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%74.8%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%13.8%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%Not measuredOnly Claude Opus 4.6 measured
Chess puzzles21.0%Not measuredOnly Claude Opus 4.6 measured
Mystery game puzzles25.0%Not measuredOnly Claude Opus 4.6 measured
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251436Claude Opus 4.6
LMArena Text: expert15441432Claude Opus 4.6
LMArena Text: hard prompts in English15301445Claude Opus 4.6
LMArena Vision: diagrams13401254Claude Opus 4.6
LMArena Vision: homework13371230Claude Opus 4.6
Kagi LLM Benchmark83.6%41.4%Claude Opus 4.6
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 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral Medium 3.5Leader
AIME95.6%Not measuredOnly Claude Opus 4.6 measured
OTIS Mock AIME94.4%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%9.0%Claude Opus 4.6
LMArena Text: math15181431Claude Opus 4.6
LMArena Text: mathematical work15251440Claude Opus 4.6
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 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral Medium 3.5Leader
MMLU Pro89.1%75.3%Claude Opus 4.6
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
CaseLaw (Vals AI)62.1%44.2%Claude Opus 4.6
CorpFin (Vals AI)67.0%58.8%Claude Opus 4.6
TaxEval (Vals AI)76.0%68.0%Claude Opus 4.6
MortgageTax (Vals AI)68.5%28.9%Claude Opus 4.6
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%33.8%Claude Opus 4.6
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science15191428Claude Opus 4.6
LMArena Text: medicine and healthcare15041409Claude Opus 4.6
LMArena Text: legal and government15121437Claude Opus 4.6
LMArena Text: business and finance14971426Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral Medium 3.5Leader
Design Arena: websites12911142Claude Opus 4.6
Design Arena: UI components12841079Claude Opus 4.6
Design Arena: game dev12781079Claude Opus 4.6
Design Arena: data viz12791120Claude Opus 4.6
Design Arena: 3D12741061Claude Opus 4.6
Design Arena: all code categories12891121Claude Opus 4.6
Design Arena: SVG1228950Claude Opus 4.6
Design Arena: ASCII art12551063Claude Opus 4.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index271
General benchmarks for Claude Opus 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral Medium 3.5Leader
SAGE (Vals AI)51.6%37.6%Claude Opus 4.6
MedScribe (Vals AI)86.7%67.7%Claude Opus 4.6
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench53.1%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)78.0%69.3%Claude Opus 4.6
DTBench91.2%75.5%Claude Opus 4.6
LMCA55.8%26.1%Claude Opus 4.6
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text15011421Claude Opus 4.6
LMArena Text: instruction following15211415Claude Opus 4.6
LMArena Text: creative writing15051374Claude Opus 4.6
LMArena Vision13161222Claude Opus 4.6
LMArena Text: English15111433Claude Opus 4.6
LMArena Text: non-English14881404Claude Opus 4.6
LMArena Text: Chinese15511444Claude Opus 4.6
LMArena Text: German15001453Claude Opus 4.6
LMArena Text: Japanese1488Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Korean14641384Claude Opus 4.6
LMArena Text: French15121448Claude Opus 4.6
LMArena Text: Spanish15101411Claude Opus 4.6
LMArena Text: Russian14971395Claude Opus 4.6
LMArena Text: Polish14991430Claude Opus 4.6
LMArena Text: multi-turn15111423Claude Opus 4.6
LMArena Text: longer queries15181415Claude Opus 4.6
LMArena Text: writing and language15021384Claude Opus 4.6
LMArena Text: entertainment and media14921382Claude Opus 4.6
LMArena Vision: English13241240Claude Opus 4.6
LMArena Vision: Chinese13701244Claude Opus 4.6
LMArena Vision: reading text13261233Claude Opus 4.6
LMArena Vision: humor13141216Claude Opus 4.6
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing13311198Claude Opus 4.6
LMArena Document1507Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 10 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.6 and Mistral Medium 3.5
BenchmarkClaude Opus 4.6Mistral 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 4.6$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 4.6$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 4.6$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 4.6 and Mistral Medium 3.5
SpecificationAnthropic Claude Opus 4.6Mistral Medium 3.5
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026April 30, 2026
Context window1M262K
Input $/Mtok$5.00$1.50
Output $/Mtok$25.00$7.50
Coding index57.225.5
Independent measurements behind it43
Cost per solved task$1.56$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than Mistral Medium 3.5 for coding?

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 25.5 for Mistral Medium 3.5. Pick Mistral Medium 3.5 for output tokens 3.3x cheaper ($7.50 vs $25.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, Claude Opus 4.6 or Mistral Medium 3.5?

Claude Opus 4.6 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 4.6 costs $1.56 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Claude Opus 4.6 or Mistral Medium 3.5?

Claude Opus 4.6, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.6 vs Mistral Medium 3.5 comparison based on?

69 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and Mistral Medium 3.5's on 3. Where only one model has a result, the page says so instead of naming a winner.

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