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Claude Opus 5.5 vs Codestral 2508

Updated October 21, 2026. 7 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Claude Opus 5.5Anthropic
Coding
88.8
Overall
57.6
Output $/M
$20.00
7
Codestral 2508Mistral AI
Coding
No data
Overall
No data
Output $/M
$0.90
0
vs boards won of 7 shared

Decision reading

Only Claude Opus 5.5 has a coding score, 88.8 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 22.2x less.

Shared results
7
Claude Opus 5.5 only
100
Codestral 2508 only
0
Like-for-like categories
2 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 5.5 88.8 from 5 benchmarks, Codestral 2508 not benchmarked.
Widest category
Coding, 67.0 points apart on average over 1 shared benchmark.
Widest single gap
ALE-Bench: Claude Opus 5.5 2147.4 against Codestral 2508 137.8, 67.0 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against Codestral 2508 $0.90 per million output tokens, 22.2x apart.
Context window
Claude Opus 5.5 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 5.5BarsCodestral 2508Ties
Coding10
Web design60
All shared boards70
CodingLike-for-likeSix of these boards feed the Vibe Coding Index10
Coding benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 2508Leader
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev1807Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%Not measuredOnly Claude Opus 5.5 measured
Code migration (Vals AI)66.7%Not measuredOnly Claude Opus 5.5 measured
ProgramBench (Vals AI)18.5%Not measuredOnly Claude Opus 5.5 measured
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%Not measuredOnly Claude Opus 5.5 measured
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%Not measuredOnly Claude Opus 5.5 measured
CyberBench (Vals AI)74.6%Not measuredOnly Claude Opus 5.5 measured
SciCode66.9%Not measuredOnly Claude Opus 5.5 measured
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.4137.8Claude Opus 5.5
LMArena Text: coding1545Not measuredOnly Claude Opus 5.5 measured
LMArena Text: software and IT1538Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: React1855Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: HTML1753Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 17 boards here
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards, none shared
Intelligence benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 2508Leader
AA Intelligence Index57.6Not measuredOnly Claude Opus 5.5 measured
Epoch Capabilities Index168.8Not measuredOnly Claude Opus 5.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index23 boards, none shared
Agentic work benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 2508Leader
Design Arena: agents building web apps1317Not measuredOnly Claude Opus 5.5 measured
Design Arena: agents building mobile apps1312Not measuredOnly Claude Opus 5.5 measured
Design Arena: spreadsheets1356Not measuredOnly Claude Opus 5.5 measured
LiveBench research85.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench long agentic85.0%Not measuredOnly Claude Opus 5.5 measured
SREBench (Vals AI)33.6%Not measuredOnly Claude Opus 5.5 measured
Finance Agent (Vals AI)58.6%Not measuredOnly Claude Opus 5.5 measured
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Claude Opus 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%Not measuredOnly Claude Opus 5.5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Opus 5.5 measured
Vals Science Index58.7%Not measuredOnly Claude Opus 5.5 measured
Time Horizon Index (Vals AI)91.3%Not measuredOnly Claude Opus 5.5 measured
CUA-bench (Vals AI)14.0%Not measuredOnly Claude Opus 5.5 measured
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
Remote Labor Index21.3%Not measuredOnly Claude Opus 5.5 measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235Not measuredOnly Claude Opus 5.5 measured
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 16 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared
Reasoning benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 2508Leader
LiveBench reasoning92.2%Not measuredOnly Claude Opus 5.5 measured
MysteryMechanism (Vals AI)49.5%Not measuredOnly Claude Opus 5.5 measured
Humanity's Last Exam (Artificial Analysis run)61.4%Not measuredOnly Claude Opus 5.5 measured
GPQA Diamond (Epoch AI run)90.6%Not measuredOnly Claude Opus 5.5 measured
ARC-AGI98.5%Not measuredOnly Claude Opus 5.5 measured
ARC-AGI-293.3%Not measuredOnly Claude Opus 5.5 measured
Chess puzzles67.0%Not measuredOnly Claude Opus 5.5 measured
Mystery game puzzles71.0%Not measuredOnly Claude Opus 5.5 measured
EBR-bench71.4%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts1536Not measuredOnly Claude Opus 5.5 measured
LMArena Text: expert1549Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts in English1535Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: diagrams1345Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: homework1362Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Math benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 2508Leader
OTIS Mock AIME100.0%Not measuredOnly Claude Opus 5.5 measured
FrontierMath, tiers 1 to 391.2%Not measuredOnly Claude Opus 5.5 measured
FrontierMath, tier 495.0%Not measuredOnly Claude Opus 5.5 measured
ProofBench100.0%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: math1518Not measuredOnly Claude Opus 5.5 measured
LMArena Text: mathematical work1516Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 7 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index6 boards, none shared
Knowledge benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 2508Leader
MedCode (Vals AI)49.8%Not measuredOnly Claude Opus 5.5 measured
SimpleQA Verified72.2%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: science1524Not measuredOnly Claude Opus 5.5 measured
LMArena Text: medicine and healthcare1509Not measuredOnly Claude Opus 5.5 measured
LMArena Text: legal and government1518Not measuredOnly Claude Opus 5.5 measured
LMArena Text: business and finance1494Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 2508Leader
Design Arena: websites13361013Claude Opus 5.5
Design Arena: UI components13941017Claude Opus 5.5
Design Arena: game dev1457968Claude Opus 5.5
Design Arena: data viz13971017Claude Opus 5.5
Design Arena: 3D14771020Claude Opus 5.5
Design Arena: all code categories13901007Claude Opus 5.5
Design Arena: SVG1333Not measuredOnly Claude Opus 5.5 measured
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index27 boards, none shared
General benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 2508Leader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%Not measuredOnly Claude Opus 5.5 measured
Public Benefits Bench (Vals AI)70.6%Not measuredOnly Claude Opus 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Opus 5.5 measured
MedScribe (Vals AI)91.4%Not measuredOnly Claude Opus 5.5 measured
Long context reasoning (AA-LCR)84.7%Not measuredOnly Claude Opus 5.5 measured
DTBench98.9%Not measuredOnly Claude Opus 5.5 measured
LMCA68.2%Not measuredOnly Claude Opus 5.5 measured
Furniture assembly83.3%Not measuredOnly Claude Opus 5.5 measured
LMArena Text1516Not measuredOnly Claude Opus 5.5 measured
LMArena Text: instruction following1537Not measuredOnly Claude Opus 5.5 measured
LMArena Text: creative writing1535Not measuredOnly Claude Opus 5.5 measured
LMArena Vision1321Not measuredOnly Claude Opus 5.5 measured
LMArena Text: English1519Not measuredOnly Claude Opus 5.5 measured
LMArena Text: non-English1507Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Chinese1582Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Japanese1534Not measuredOnly Claude Opus 5.5 measured
LMArena Text: French1493Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Spanish1508Not measuredOnly Claude Opus 5.5 measured
LMArena Text: Russian1517Not measuredOnly Claude Opus 5.5 measured
LMArena Text: multi-turn1501Not measuredOnly Claude Opus 5.5 measured
LMArena Text: longer queries1532Not measuredOnly Claude Opus 5.5 measured
LMArena Text: writing and language1532Not measuredOnly Claude Opus 5.5 measured
LMArena Text: entertainment and media1515Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: English1317Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: creative writing1320Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 19 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 5.5 and Codestral 2508
BenchmarkClaude Opus 5.5Codestral 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 5.5$0.014Fits in one request
Codestral 2508$0.0008Fits in one request

Codestral 2508 costs less

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
Codestral 2508$0.018Fits in one request

Codestral 2508 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits 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 5.5 and Codestral 2508
SpecificationAnthropic Claude Opus 5.5Mistral Codestral 2508
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedSeptember 22, 2026August 1, 2025
Context window1M256K
Input $/Mtok$4.00$0.30
Output $/Mtok$20.00$0.90
Coding index88.8Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than Codestral 2508 for coding?

Only Claude Opus 5.5 has a coding score, 88.8 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 22.2x less.

Which is cheaper, Claude Opus 5.5 or Codestral 2508?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; Codestral 2508 costs $0.30 and $0.90. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Opus 5.5 or Codestral 2508?

Claude Opus 5.5, with 1M tokens against 256K.

How many benchmarks is the Claude Opus 5.5 vs Codestral 2508 comparison based on?

7 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5.5's coding index rests on 5 independent benchmarks and Codestral 2508's on 0. Where only one model has a result, the page says so instead of naming a winner.

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