Enter opens the highlighted result. Esc closes.

Claude Opus 4.6 vs Codestral 2508

Updated October 21, 2026. 6 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 4.6Anthropic
Coding
57.2
Overall
31.9
Output $/M
$25.00
6
Codestral 2508Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.90
0
vs boards won of 6 shared

Decision reading

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Codestral 2508 has none, so the two cannot be ranked on coding.

Codestral 2508 has the edge where output tokens cost 27.8x less.

Shared results
6
Claude Opus 4.6 only
102
Codestral 2508 only
1
Like-for-like categories
1 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 4.6 57.2 from 4 benchmarks, Codestral 2508 not benchmarked.
Widest category
Web design, 34.4 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: game dev: Claude Opus 4.6 1277 against Codestral 2508 968, 38.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against Codestral 2508 $0.90 per million output tokens, 27.8x apart.
Context window
Claude Opus 4.6 takes 1M tokens, Codestral 2508 256K.

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 4.6BarsCodestral 2508Ties
Web design60
All shared boards60
CodingDirectional onlySix of these boards feed the Vibe Coding Index18 boards, none shared
Coding benchmarks for Claude Opus 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev1547Not measuredOnly Claude Opus 4.6 measured
LiveCodeBench (Vals AI)84.7%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Verified (Vals AI)78.2%Not measuredOnly Claude Opus 4.6 measured
Vibe Code Bench (Vals AI)57.6%Not measuredOnly Claude Opus 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)48.5%Not measuredOnly Claude Opus 4.6 measured
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 measured137.8Only Codestral 2508 measured
LMArena Text: coding1534Not measuredOnly Claude Opus 4.6 measured
LMArena Text: software and IT1527Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: React1539Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: HTML1559Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 20 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Opus 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
AA Intelligence Index31.9Not measuredOnly Claude Opus 4.6 measured
Epoch Capabilities Index155.7Not measuredOnly Claude Opus 4.6 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index11 boards, none shared
Agentic work benchmarks for Claude Opus 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
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 apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building Android apps1203Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%Not measuredOnly Claude Opus 4.6 measured
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 28 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards, none shared
Reasoning benchmarks for Claude Opus 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
GPQA Diamond89.7%Not measuredOnly Claude Opus 4.6 measured
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%Not measuredOnly Claude Opus 4.6 measured
Humanity's Last Exam (Artificial Analysis run)39.9%Not measuredOnly Claude Opus 4.6 measured
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 prompts1525Not measuredOnly Claude Opus 4.6 measured
LMArena Text: expert1544Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts in English1530Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 5 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Claude Opus 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
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%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: math1518Not measuredOnly Claude Opus 4.6 measured
LMArena Text: mathematical work1525Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Knowledge benchmarks for Claude Opus 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
MMLU Pro89.1%Not measuredOnly Claude Opus 4.6 measured
LegalBench (Vals AI)85.3%Not measuredOnly Claude Opus 4.6 measured
CaseLaw (Vals AI)62.1%Not measuredOnly Claude Opus 4.6 measured
CorpFin (Vals AI)67.0%Not measuredOnly Claude Opus 4.6 measured
TaxEval (Vals AI)76.0%Not measuredOnly Claude Opus 4.6 measured
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%Not measuredOnly Claude Opus 4.6 measured
MedCode (Vals AI)49.1%Not measuredOnly Claude Opus 4.6 measured
SimpleQA Verified47.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: science1519Not measuredOnly Claude Opus 4.6 measured
LMArena Text: medicine and healthcare1504Not measuredOnly Claude Opus 4.6 measured
LMArena Text: legal and government1512Not measuredOnly Claude Opus 4.6 measured
LMArena Text: business and finance1497Not 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 index60
Web design benchmarks for Claude Opus 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
Design Arena: websites12911013Claude Opus 4.6
Design Arena: UI components12841017Claude Opus 4.6
Design Arena: game dev1277968Claude Opus 4.6
Design Arena: data viz12791017Claude Opus 4.6
Design Arena: 3D12741020Claude Opus 4.6
Design Arena: all code categories12891007Claude Opus 4.6
Design Arena: SVG1228Not measuredOnly Claude Opus 4.6 measured
Design Arena: ASCII art1254Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index34 boards, none shared
General benchmarks for Claude Opus 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%Not measuredOnly Claude Opus 4.6 measured
IFBench53.1%Not measuredOnly Claude Opus 4.6 measured
Long context reasoning (AA-LCR)78.0%Not measuredOnly Claude Opus 4.6 measured
DTBench91.2%Not measuredOnly Claude Opus 4.6 measured
LMCA55.8%Not measuredOnly Claude Opus 4.6 measured
CL-bench20.7%Not measuredOnly Claude Opus 4.6 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%Not measuredOnly Claude Opus 4.6 measured
LMArena Text1501Not measuredOnly Claude Opus 4.6 measured
LMArena Text: instruction following1521Not measuredOnly Claude Opus 4.6 measured
LMArena Text: creative writing1505Not measuredOnly Claude Opus 4.6 measured
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English1511Not measuredOnly Claude Opus 4.6 measured
LMArena Text: non-English1488Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Chinese1551Not measuredOnly Claude Opus 4.6 measured
LMArena Text: German1500Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Japanese1488Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Korean1464Not measuredOnly Claude Opus 4.6 measured
LMArena Text: French1512Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Spanish1510Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Russian1497Not measuredOnly Claude Opus 4.6 measured
LMArena Text: Polish1499Not measuredOnly Claude Opus 4.6 measured
LMArena Text: multi-turn1511Not measuredOnly Claude Opus 4.6 measured
LMArena Text: longer queries1518Not measuredOnly Claude Opus 4.6 measured
LMArena Text: writing and language1502Not measuredOnly Claude Opus 4.6 measured
LMArena Text: entertainment and media1492Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: English1324Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 4.6 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 4.6 and Codestral 2508
BenchmarkClaude Opus 4.6Codestral 2508Leader
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
Codestral 2508$0.0008Fits in one request

Codestral 2508 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
Codestral 2508$0.018Fits in one request

Codestral 2508 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
Codestral 2508$0.069Fits in one request

Codestral 2508 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 Codestral 2508
SpecificationAnthropic Claude Opus 4.6Mistral Codestral 2508
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedFebruary 4, 2026August 1, 2025
Context window1M256K
Input $/Mtok$5.00$0.30
Output $/Mtok$25.00$0.90
Coding index57.2Not benchmarked
Independent measurements behind it40
Cost per solved task$1.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than Codestral 2508 for coding?

Only Claude Opus 4.6 has a coding score, 57.2 on the Vibe Coding Index; Codestral 2508 has none, so the two cannot be ranked on coding. Codestral 2508 has the edge where output tokens cost 27.8x less.

Which is cheaper, Claude Opus 4.6 or Codestral 2508?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; Codestral 2508 costs $0.30 and $0.90. Cost per solved task is known for Claude Opus 4.6 only.

Which has the bigger context window, Claude Opus 4.6 or Codestral 2508?

Claude Opus 4.6, with 1M tokens against 256K.

How many benchmarks is the Claude Opus 4.6 vs Codestral 2508 comparison based on?

6 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 Codestral 2508's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next