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Claude Opus 4.5 vs Mistral Medium 3.5

Claude Opus 4.5 leads Mistral Medium 3.5 on coding, 44.0 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 22, 2026; 61 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace Mistral Medium 3.5
Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
58
Mistral Medium 3.5Mistral AI
Coding
25.5
Overall
37.3
Output $/M
$7.50
3
vs boards won of 61 shared

Claude Opus 4.5 or Mistral Medium 3.5: which to pick

Pick Claude Opus 4.5 for coding: it scores 44.0 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 a larger context window (262K against 200K tokens).

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved taskModel BMistral Medium 3.5Mistral AI25.5/1003 independent benchmarks$6.02 per solved task
Shared results
61
Claude Opus 4.5 only
47
Mistral Medium 3.5 only
20
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 4.5 44.0 from 3 benchmarks, Mistral Medium 3.5 25.5 from 3 benchmarks.
Widest category
Reasoning, 20.0 points apart on average over 7 shared benchmarks.
Widest single gap
GPQA Diamond: Claude Opus 4.5 85.9% against Mistral Medium 3.5 34.9%, 51.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Mistral Medium 3.5 $7.50 per million output tokens, 3.3x apart.
Context window
Claude Opus 4.5 takes 200K 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 4.5BarsMistral Medium 3.5Ties
Coding80
Intelligence20
Agentic work01
Reasoning70
Math30
Knowledge100
Web design80
General202
All shared boards583
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Opus 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral Medium 3.5Leader
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev14941264Claude Opus 4.5
AA Coding IndexNot measured46.9Only Mistral Medium 3.5 measured
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)76.4%66.4%Claude Opus 4.5
Vibe Code Bench (Vals AI)20.6%2.9%Claude Opus 4.5
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
LiveCodeBench (Artificial Analysis run)87.1%Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured40.2%Only Mistral Medium 3.5 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%33.3%Claude Opus 4.5
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%Not measuredOnly Claude Opus 4.5 measured
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding15031460Claude Opus 4.5
LMArena Text: software and IT14831458Claude Opus 4.5
LMArena WebDev: React14781254Claude Opus 4.5
LMArena WebDev: HTML15101308Claude Opus 4.5
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 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral Medium 3.5Leader
AA Intelligence Index29.114.2Claude Opus 4.5
Epoch Capabilities Index150.1141.4Claude Opus 4.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Opus 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral Medium 3.5Leader
AA Agentic IndexNot measured7.0Only Mistral Medium 3.5 measured
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1176Not measuredOnly Claude Opus 4.5 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 Telecom89.5%94.2%Mistral Medium 3.5
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 23 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Claude Opus 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral Medium 3.5Leader
GPQA Diamond85.9%34.9%Claude Opus 4.5
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%74.8%Claude Opus 4.5
Humanity's Last Exam (Artificial Analysis run)30.1%13.8%Claude Opus 4.5
GPQA Diamond (Epoch AI run)86.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI80.0%Not measuredOnly Claude Opus 4.5 measured
ARC-AGI-237.6%Not measuredOnly Claude Opus 4.5 measured
SimpleBench62.0%Not measuredOnly Claude Opus 4.5 measured
Chess puzzles14.0%Not measuredOnly Claude Opus 4.5 measured
Mystery game puzzles22.0%Not measuredOnly Claude Opus 4.5 measured
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761436Claude Opus 4.5
LMArena Text: expert14871432Claude Opus 4.5
LMArena Text: hard prompts in English14821445Claude Opus 4.5
LMArena Vision: diagramsNot measured1254Only Mistral Medium 3.5 measured
LMArena Vision: homeworkNot measured1230Only Mistral Medium 3.5 measured
Kagi LLM Benchmark80.2%41.4%Claude Opus 4.5
Neither model has a result on the other 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral Medium 3.5Leader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tiers 1 to 334.4%Not measuredOnly Claude Opus 4.5 measured
FrontierMath, tier 44.9%Not measuredOnly Claude Opus 4.5 measured
ProofBench36.0%9.0%Claude Opus 4.5
LMArena Text: math14631431Claude Opus 4.5
LMArena Text: mathematical work14681440Claude Opus 4.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
Knowledge benchmarks for Claude Opus 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral Medium 3.5Leader
MMLU Pro87.3%75.3%Claude Opus 4.5
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%44.2%Claude Opus 4.5
CorpFin (Vals AI)65.1%58.8%Claude Opus 4.5
TaxEval (Vals AI)74.9%68.0%Claude Opus 4.5
MortgageTax (Vals AI)68.7%28.9%Claude Opus 4.5
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%33.8%Claude Opus 4.5
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541428Claude Opus 4.5
LMArena Text: medicine and healthcare14441409Claude Opus 4.5
LMArena Text: legal and government14591437Claude Opus 4.5
LMArena Text: business and finance14481426Claude Opus 4.5
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral Medium 3.5Leader
Design Arena: websites12471142Claude Opus 4.5
Design Arena: UI components12351076Claude Opus 4.5
Design Arena: game dev12281079Claude Opus 4.5
Design Arena: data viz12431120Claude Opus 4.5
Design Arena: 3D12131060Claude Opus 4.5
Design Arena: all code categories12421121Claude Opus 4.5
Design Arena: SVG1180949Claude Opus 4.5
Design Arena: ASCII art11901062Claude Opus 4.5
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index202
General benchmarks for Claude Opus 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral Medium 3.5Leader
SAGE (Vals AI)52.1%37.6%Claude Opus 4.5
MedScribe (Vals AI)85.3%67.7%Claude Opus 4.5
Vals Multimodal IndexNot measured34.8%Only Mistral Medium 3.5 measured
IFBench58.0%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)77.3%69.3%Claude Opus 4.5
DTBench89.9%75.5%Claude Opus 4.5
LMCA44.5%26.1%Claude Opus 4.5
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Surface Evolver BenchNot measured26.9%Only Mistral Medium 3.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511421Claude Opus 4.5
LMArena Text: instruction following14781415Claude Opus 4.5
LMArena Text: creative writing14451374Claude Opus 4.5
LMArena VisionNot measured1222Only Mistral Medium 3.5 measured
LMArena Text: English14611433Claude Opus 4.5
LMArena Text: non-English14381404Claude Opus 4.5
LMArena Text: Chinese14701444Claude Opus 4.5
LMArena Text: German14491453Mistral Medium 3.5
LMArena Text: Japanese1417Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Korean14241384Claude Opus 4.5
LMArena Text: French14711448Claude Opus 4.5
LMArena Text: Spanish14571411Claude Opus 4.5
LMArena Text: Russian14471395Claude Opus 4.5
LMArena Text: Polish14391430Claude Opus 4.5
LMArena Text: multi-turn14661423Claude Opus 4.5
LMArena Text: longer queries14791415Claude Opus 4.5
LMArena Text: writing and language14521384Claude Opus 4.5
LMArena Text: entertainment and media14341382Claude Opus 4.5
LMArena Vision: EnglishNot measured1240Only Mistral Medium 3.5 measured
LMArena Vision: ChineseNot measured1244Only Mistral Medium 3.5 measured
LMArena Vision: reading textNot measured1233Only Mistral Medium 3.5 measured
LMArena Vision: humorNot measured1216Only Mistral Medium 3.5 measured
LMArena Vision: creative writingNot measured1198Only Mistral Medium 3.5 measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and Mistral Medium 3.5
BenchmarkClaude Opus 4.5Mistral 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 4.5$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 4.5$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 4.5$1.25Exceeds the context window
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 4.5 and Mistral Medium 3.5
SpecificationAnthropic Claude Opus 4.5Mistral Medium 3.5
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025April 30, 2026
Context window200K262K
Input $/Mtok$5.00$1.50
Output $/Mtok$25.00$7.50
Coding index44.025.5
Independent measurements behind it33
Cost per solved task$1.37$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Mistral Medium 3.5 for coding?

Pick Claude Opus 4.5 for coding: it scores 44.0 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 a larger context window (262K against 200K tokens).

Which is cheaper, Claude Opus 4.5 or Mistral Medium 3.5?

Claude Opus 4.5 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 4.5 costs $1.37 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Claude Opus 4.5 or Mistral Medium 3.5?

Mistral Medium 3.5, with 262K tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs Mistral Medium 3.5 comparison based on?

61 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 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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