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Claude Opus 4.8 vs Mistral Medium 3.5

Updated October 21, 2026. 78 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 4.8 Replace Mistral Medium 3.5
Claude Opus 4.8Anthropic
Coding
66.0
Overall
41.8
Output $/M
$25.00
77
Mistral Medium 3.5Mistral AI
Coding
9.2
Overall
14.2
Output $/M
$7.50
1
vs boards won of 78 shared

Decision reading

Pick Claude Opus 4.8 for coding: it scores 66.0 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 the benchmark that matters is IFBench, where it leads.

Model AClaude Opus 4.8Anthropic66.0/1002 independent benchmarks$2.17 per solved taskModel BMistral Medium 3.5Mistral AI9.2/1001 independent benchmark$6.02 per solved task
Shared results
78
Claude Opus 4.8 only
48
Mistral Medium 3.5 only
2
Like-for-like categories
8 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 4.8 66.0 from 2 benchmarks, Mistral Medium 3.5 9.2 from 1 benchmark.
Widest category
Coding, 32.1 points apart on average over 12 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Opus 4.8 82.7% against Mistral Medium 3.5 2.9%, 79.8 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.8 $25.00 against Mistral Medium 3.5 $7.50 per million output tokens, 3.3x apart.
Context window
Claude Opus 4.8 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 4.8BarsMistral Medium 3.5Ties
Coding120
Intelligence20
Agentic work60
Reasoning80
Math30
Knowledge90
Web design80
General291
All shared boards771
CodingLike-for-likeFour of these boards feed the Vibe Coding Index120
Coding benchmarks for Claude Opus 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral Medium 3.5Leader
LiveBench coding77.3%Not measuredOnly Claude Opus 4.8 measured
LMArena WebDev15561264Claude Opus 4.8
AA Coding Index74.346.9Claude Opus 4.8
LiveCodeBench (Vals AI)87.8%Not measuredOnly Claude Opus 4.8 measured
SWE-bench Verified (Vals AI)88.6%66.4%Claude Opus 4.8
Terminal-Bench 4 (Vals AI)23.2%Not measuredOnly Claude Opus 4.8 measured
Vibe Code Bench (Vals AI)82.7%2.9%Claude Opus 4.8
Code migration (Vals AI)47.3%5.1%Claude Opus 4.8
ProgramBench (Vals AI)1.0%Not measuredOnly Claude Opus 4.8 measured
Terminal-Bench 2.1 (Vals AI)71.9%39.0%Claude Opus 4.8
SkillsBench (Vals AI)59.2%Not measuredOnly Claude Opus 4.8 measured
SciCode54.4%40.2%Claude Opus 4.8
Terminal-Bench Hard (Artificial Analysis run)58.3%33.3%Claude Opus 4.8
FrontierCode46.5%Not measuredOnly Claude Opus 4.8 measured
GSO-Bench47.1%Not measuredOnly Claude Opus 4.8 measured
WeirdML82.9%Not measuredOnly Claude Opus 4.8 measured
ALE-BenchNot measured764.0Only Mistral Medium 3.5 measured
LMArena Text: coding14901460Claude Opus 4.8
LMArena Text: software and IT14881458Claude Opus 4.8
LMArena WebDev: React15571254Claude Opus 4.8
LMArena WebDev: HTML15431308Claude Opus 4.8
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 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral Medium 3.5Leader
AA Intelligence Index41.814.2Claude Opus 4.8
Epoch Capabilities Index159.0141.4Claude Opus 4.8
Agentic workLike-for-likePublic boards, shown as published, kept out of the index60
Agentic work benchmarks for Claude Opus 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral Medium 3.5Leader
AA Agentic Index41.97.0Claude Opus 4.8
Design Arena: agents building web apps1233Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building full-stack apps1249Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building mobile apps1222Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Android apps1237Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building Godot games1231Not measuredOnly Claude Opus 4.8 measured
Design Arena: agents building games1238Not measuredOnly Claude Opus 4.8 measured
Design Arena: HTML slides1221Not measuredOnly Claude Opus 4.8 measured
Design Arena: PowerPoint slides1227Not measuredOnly Claude Opus 4.8 measured
LiveBench research81.8%Not measuredOnly Claude Opus 4.8 measured
LiveBench browser96.0%Not measuredOnly Claude Opus 4.8 measured
LiveBench long agentic48.3%Not measuredOnly Claude Opus 4.8 measured
Finance Agent (Vals AI)53.9%32.1%Claude Opus 4.8
Tax Agent Bench (Vals AI)30.0%4.5%Claude Opus 4.8
Legal Research Bench (Vals AI)43.8%9.1%Claude Opus 4.8
Excel Modeling Benchmark (Vals AI)69.4%11.2%Claude Opus 4.8
Terminal-Bench-Science (Vals AI)4.3%Not measuredOnly Claude Opus 4.8 measured
Time Horizon Index (Vals AI)11.8%Not measuredOnly Claude Opus 4.8 measured
τ²-Bench Telecom94.4%94.2%Claude Opus 4.8
APEX-Agents48.9%Not measuredOnly Claude Opus 4.8 measured
Remote Labor Index8.3%Not measuredOnly Claude Opus 4.8 measured
OSWorld 2.020.6%Not measuredOnly Claude Opus 4.8 measured
DeepResearch Bench50.2%Not measuredOnly Claude Opus 4.8 measured
PostTrainBench33.8%Not measuredOnly Claude Opus 4.8 measured
Vending-Bench 2$5,787Not measuredOnly Claude Opus 4.8 measured
LMArena Search1204Not measuredOnly Claude Opus 4.8 measured
Neither model has a result on the other 13 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Opus 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral Medium 3.5Leader
GPQA Diamond92.4%34.9%Claude Opus 4.8
LiveBench reasoning89.2%Not measuredOnly Claude Opus 4.8 measured
MMMU Pro (Vals AI)86.6%Not measuredOnly Claude Opus 4.8 measured
GPQA Diamond (Artificial Analysis run)92.0%74.8%Claude Opus 4.8
Humanity's Last Exam (Artificial Analysis run)48.7%13.8%Claude Opus 4.8
GPQA Diamond (Epoch AI run)91.0%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI92.5%Not measuredOnly Claude Opus 4.8 measured
ARC-AGI-272.1%Not measuredOnly Claude Opus 4.8 measured
SimpleBench64.8%Not measuredOnly Claude Opus 4.8 measured
Chess puzzles52.0%Not measuredOnly Claude Opus 4.8 measured
Mystery game puzzles36.0%Not measuredOnly Claude Opus 4.8 measured
EBR-bench28.6%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: hard prompts14821436Claude Opus 4.8
LMArena Text: expert15031432Claude Opus 4.8
LMArena Text: hard prompts in English14871445Claude Opus 4.8
LMArena Vision: diagrams13151254Claude Opus 4.8
LMArena Vision: homework13371230Claude Opus 4.8
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 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral Medium 3.5Leader
OTIS Mock AIME98.3%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tiers 1 to 380.0%Not measuredOnly Claude Opus 4.8 measured
FrontierMath, tier 456.1%Not measuredOnly Claude Opus 4.8 measured
ProofBench69.0%9.0%Claude Opus 4.8
LMArena Text: math14861431Claude Opus 4.8
LMArena Text: mathematical work14971440Claude Opus 4.8
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index90
Knowledge benchmarks for Claude Opus 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral Medium 3.5Leader
MMLU Pro89.6%75.3%Claude Opus 4.8
LegalBench (Vals AI)83.6%Not measuredOnly Claude Opus 4.8 measured
CaseLaw (Vals AI)Not measured44.2%Only Mistral Medium 3.5 measured
CorpFin (Vals AI)66.7%58.8%Claude Opus 4.8
TaxEval (Vals AI)75.6%68.0%Claude Opus 4.8
MortgageTax (Vals AI)69.9%28.9%Claude Opus 4.8
MedCode (Vals AI)53.2%33.8%Claude Opus 4.8
SimpleQA Verified53.0%Not measuredOnly Claude Opus 4.8 measured
LMArena Text: science14771428Claude Opus 4.8
LMArena Text: medicine and healthcare14641409Claude Opus 4.8
LMArena Text: legal and government14771437Claude Opus 4.8
LMArena Text: business and finance14581426Claude Opus 4.8
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral Medium 3.5Leader
Design Arena: websites12581142Claude Opus 4.8
Design Arena: UI components12561079Claude Opus 4.8
Design Arena: game dev12641079Claude Opus 4.8
Design Arena: data viz12401120Claude Opus 4.8
Design Arena: 3D12231061Claude Opus 4.8
Design Arena: all code categories12551122Claude Opus 4.8
Design Arena: SVG1194949Claude Opus 4.8
Design Arena: ASCII art12761062Claude Opus 4.8
LiveBench design78.8%Not measuredOnly Claude Opus 4.8 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index291
General benchmarks for Claude Opus 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral Medium 3.5Leader
LiveBench data analysis66.0%Not measuredOnly Claude Opus 4.8 measured
Public Benefits Bench (Vals AI)68.1%Not measuredOnly Claude Opus 4.8 measured
SAGE (Vals AI)54.8%37.6%Claude Opus 4.8
MedScribe (Vals AI)85.8%67.7%Claude Opus 4.8
Vals Multimodal Index70.9%34.8%Claude Opus 4.8
IFBench62.2%68.8%Mistral Medium 3.5
Long context reasoning (AA-LCR)77.7%69.3%Claude Opus 4.8
DTBench94.9%75.5%Claude Opus 4.8
LMCA57.5%26.1%Claude Opus 4.8
Surface Evolver Bench87.5%26.9%Claude Opus 4.8
Furniture assembly42.5%Not measuredOnly Claude Opus 4.8 measured
LMArena Text14611421Claude Opus 4.8
LMArena Text: instruction following14761415Claude Opus 4.8
LMArena Text: creative writing14541374Claude Opus 4.8
LMArena Vision12941222Claude Opus 4.8
LMArena Text: English14681433Claude Opus 4.8
LMArena Text: non-English14501404Claude Opus 4.8
LMArena Text: Chinese15061444Claude Opus 4.8
LMArena Text: German14721453Claude Opus 4.8
LMArena Text: Japanese1442Not measuredOnly Claude Opus 4.8 measured
LMArena Text: Korean14311384Claude Opus 4.8
LMArena Text: French14811448Claude Opus 4.8
LMArena Text: Spanish14651411Claude Opus 4.8
LMArena Text: Russian14741395Claude Opus 4.8
LMArena Text: Polish14591430Claude Opus 4.8
LMArena Text: multi-turn14761423Claude Opus 4.8
LMArena Text: longer queries14831415Claude Opus 4.8
LMArena Text: writing and language14611384Claude Opus 4.8
LMArena Text: entertainment and media14401382Claude Opus 4.8
LMArena Vision: English12931240Claude Opus 4.8
LMArena Vision: Chinese13461244Claude Opus 4.8
LMArena Vision: reading text13031233Claude Opus 4.8
LMArena Vision: humor12821216Claude Opus 4.8
LMArena Vision: creative writing13011198Claude Opus 4.8
LMArena Document1475Not measuredOnly Claude Opus 4.8 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 4.8 and Mistral Medium 3.5
BenchmarkClaude Opus 4.8Mistral 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 4.8$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 4.8$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 4.8$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 4.8 and Mistral Medium 3.5
SpecificationAnthropic Claude Opus 4.8Mistral Medium 3.5
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedMay 27, 2026April 30, 2026
Context window1M262K
Input $/Mtok$5.00$1.50
Output $/Mtok$25.00$7.50
Coding index66.09.2
Independent measurements behind it21
Cost per solved task$2.17$6.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.8 better than Mistral Medium 3.5 for coding?

Pick Claude Opus 4.8 for coding: it scores 66.0 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 the benchmark that matters is IFBench, where it leads.

Which is cheaper, Claude Opus 4.8 or Mistral Medium 3.5?

Claude Opus 4.8 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 4.8 costs $2.17 and Mistral Medium 3.5 $6.02.

Which has the bigger context window, Claude Opus 4.8 or Mistral Medium 3.5?

Claude Opus 4.8, with 1M tokens against 262K.

How many benchmarks is the Claude Opus 4.8 vs Mistral Medium 3.5 comparison based on?

78 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.8's coding index rests on 2 independent benchmarks 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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