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Claude Opus 4.5 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 4.5Anthropic
Coding
44.0
Overall
29.1
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 4.5 has a coding score, 44.0 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, and where the context window is larger, 256K against 200K tokens.

Shared results
6
Claude Opus 4.5 only
99
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 4.5 44.0 from 3 benchmarks, Codestral 2508 not benchmarked.
Widest category
Web design, 28.6 points apart on average over 6 shared benchmarks.
Widest single gap
Design Arena: game dev: Claude Opus 4.5 1229 against Codestral 2508 968, 32.6 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against Codestral 2508 $0.90 per million output tokens, 27.8x apart.
Context window
Claude Opus 4.5 takes 200K 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 4.5BarsCodestral 2508Ties
Web design60
All shared boards60
CodingDirectional onlySix of these boards feed the Vibe Coding Index18 boards, none shared
Coding benchmarks for Claude Opus 4.5 and Codestral 2508
BenchmarkClaude Opus 4.5Codestral 2508Leader
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 WebDev1494Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Vals AI)83.7%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Verified (Vals AI)76.4%Not measuredOnly Claude Opus 4.5 measured
Vibe Code Bench (Vals AI)20.6%Not measuredOnly Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)87.1%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Claude Opus 4.5 measured
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 measured137.8Only Codestral 2508 measured
LMArena Text: coding1503Not measuredOnly Claude Opus 4.5 measured
LMArena Text: software and IT1483Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: React1478Not measuredOnly Claude Opus 4.5 measured
LMArena WebDev: HTML1510Not measuredOnly Claude Opus 4.5 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 4.5 and Codestral 2508
BenchmarkClaude Opus 4.5Codestral 2508Leader
AA Intelligence Index29.1Not measuredOnly Claude Opus 4.5 measured
Epoch Capabilities Index150.1Not measuredOnly Claude Opus 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Opus 4.5 and Codestral 2508
BenchmarkClaude Opus 4.5Codestral 2508Leader
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 apps1183Not measuredOnly Claude Opus 4.5 measured
τ²-Bench Telecom89.5%Not measuredOnly Claude Opus 4.5 measured
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
Neither model has a result on the other 27 boards here
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Reasoning benchmarks for Claude Opus 4.5 and Codestral 2508
BenchmarkClaude Opus 4.5Codestral 2508Leader
GPQA Diamond85.9%Not measuredOnly Claude Opus 4.5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Opus 4.5 measured
GPQA Diamond (Artificial Analysis run)86.6%Not measuredOnly Claude Opus 4.5 measured
Humanity's Last Exam (Artificial Analysis run)30.1%Not measuredOnly Claude Opus 4.5 measured
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 prompts1476Not measuredOnly Claude Opus 4.5 measured
LMArena Text: expert1487Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts in English1482Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 6 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index10 boards, none shared
Math benchmarks for Claude Opus 4.5 and Codestral 2508
BenchmarkClaude Opus 4.5Codestral 2508Leader
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%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: math1463Not measuredOnly Claude Opus 4.5 measured
LMArena Text: mathematical work1468Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 3 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index15 boards, none shared
Knowledge benchmarks for Claude Opus 4.5 and Codestral 2508
BenchmarkClaude Opus 4.5Codestral 2508Leader
MMLU Pro87.3%Not measuredOnly Claude Opus 4.5 measured
LegalBench (Vals AI)84.6%Not measuredOnly Claude Opus 4.5 measured
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%Not measuredOnly Claude Opus 4.5 measured
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
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: science1454Not measuredOnly Claude Opus 4.5 measured
LMArena Text: medicine and healthcare1444Not measuredOnly Claude Opus 4.5 measured
LMArena Text: legal and government1459Not measuredOnly Claude Opus 4.5 measured
LMArena Text: business and finance1448Not 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 index60
Web design benchmarks for Claude Opus 4.5 and Codestral 2508
BenchmarkClaude Opus 4.5Codestral 2508Leader
Design Arena: websites12471013Claude Opus 4.5
Design Arena: UI components12381017Claude Opus 4.5
Design Arena: game dev1229968Claude Opus 4.5
Design Arena: data viz12431017Claude Opus 4.5
Design Arena: 3D12141020Claude Opus 4.5
Design Arena: all code categories12421007Claude Opus 4.5
Design Arena: SVG1181Not measuredOnly Claude Opus 4.5 measured
Design Arena: ASCII art1190Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 1 board here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index26 boards, none shared
General benchmarks for Claude Opus 4.5 and Codestral 2508
BenchmarkClaude Opus 4.5Codestral 2508Leader
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%Not measuredOnly Claude Opus 4.5 measured
IFBench58.0%Not measuredOnly Claude Opus 4.5 measured
Long context reasoning (AA-LCR)77.3%Not measuredOnly Claude Opus 4.5 measured
DTBench89.9%Not measuredOnly Claude Opus 4.5 measured
LMCA44.5%Not measuredOnly Claude Opus 4.5 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text1451Not measuredOnly Claude Opus 4.5 measured
LMArena Text: instruction following1478Not measuredOnly Claude Opus 4.5 measured
LMArena Text: creative writing1445Not measuredOnly Claude Opus 4.5 measured
LMArena Text: English1461Not measuredOnly Claude Opus 4.5 measured
LMArena Text: non-English1438Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Chinese1470Not measuredOnly Claude Opus 4.5 measured
LMArena Text: German1449Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Japanese1417Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Korean1424Not measuredOnly Claude Opus 4.5 measured
LMArena Text: French1471Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Spanish1457Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Russian1447Not measuredOnly Claude Opus 4.5 measured
LMArena Text: Polish1439Not measuredOnly Claude Opus 4.5 measured
LMArena Text: multi-turn1466Not measuredOnly Claude Opus 4.5 measured
LMArena Text: longer queries1479Not measuredOnly Claude Opus 4.5 measured
LMArena Text: writing and language1452Not measuredOnly Claude Opus 4.5 measured
LMArena Text: entertainment and media1434Not measuredOnly Claude Opus 4.5 measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 20 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 Codestral 2508
BenchmarkClaude Opus 4.5Codestral 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 4.5$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 4.5$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 4.5$1.25Exceeds the context window
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 4.5 and Codestral 2508
SpecificationAnthropic Claude Opus 4.5Mistral Codestral 2508
MakerAnthropicMistral AI
WeightsNo public weights listedNo public weights listed
ReleasedNovember 24, 2025August 1, 2025
Context window200K256K
Input $/Mtok$5.00$0.30
Output $/Mtok$25.00$0.90
Coding index44.0Not benchmarked
Independent measurements behind it30
Cost per solved task$1.37Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than Codestral 2508 for coding?

Only Claude Opus 4.5 has a coding score, 44.0 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, and where the context window is larger, 256K against 200K tokens.

Which is cheaper, Claude Opus 4.5 or Codestral 2508?

Claude Opus 4.5 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 4.5 only.

Which has the bigger context window, Claude Opus 4.5 or Codestral 2508?

Codestral 2508, with 256K tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs Codestral 2508 comparison based on?

6 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.5's coding index rests on 3 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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