Claude Opus 4.5 vs Mistral Large 3 2512

Claude Opus 4.5 leads Mistral Large 3 2512 on the Artificial Analysis Intelligence Index, 29.1 to 9.3, and Mistral Large 3 2512 costs 16.7x less per output token ($1.50 vs $25.00 per million). Updated October 21, 2026; 25 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace Mistral Large 3 2512

Claude Opus 4.5Anthropic

Coding: 44.0
Overall: 55.7
Output $/M: $25.00

Mistral Large 3 2512Mistral AI

Coding: No data
Overall: No data
Output $/M: $1.50

vs boards won of 25 shared

Claude Opus 4.5 or Mistral Large 3 2512: which to pick

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding.

Pick Mistral Large 3 2512 for output tokens 16.7x cheaper ($1.50 vs $25.00 per million) and a lower cost per solved task ($0.77 against $1.37).

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved task Model BMistral Large 3 2512Mistral AINot benchmarked1 independent benchmark$0.77 per solved task

25833

Shared results: 25
Claude Opus 4.5 only: 83
Mistral Large 3 2512 only: 3
Like-for-like categories: 7 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.

Coding
Vibe Coding Index, six public coding benchmarks
No call
Only Claude Opus 4.5 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Claude Opus 4.5
Claude Opus 4.5 leads, 29.1 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Mistral Large 3 2512 has a AA Agentic Index result, 1.0.
Directional only
Reasoning
GPQA Diamond
Claude Opus 4.5
Claude Opus 4.5 leads, 85.9% against 68.4%.
Same board, both measured
Math
AIME
Claude Opus 4.5
Claude Opus 4.5 leads, 95.4% against 42.9%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.5
Claude Opus 4.5 leads, 87.3% against 79.8%.
Same board, both measured
Web design
Design Arena: websites
Claude Opus 4.5
Claude Opus 4.5 leads, 1247 against 1162.
Same board, both measured
Long documents
Listed context window
Mistral Large 3 2512
Mistral Large 3 2512 takes 262K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Mistral Large 3 2512
Claude Opus 4.5 $0.018, Mistral Large 3 2512 $0.0013 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Mistral Large 3 2512
Claude Opus 4.5 $1.37, Mistral Large 3 2512 $0.77.
Published attempt cost and pass rate

At a glance

Coding index: Claude Opus 4.5 44.0 from 3 benchmarks, Mistral Large 3 2512 not benchmarked.
Widest category: Coding, 31.7 points apart on average over 2 shared benchmarks.
Widest single gap: AIME: Claude Opus 4.5 95.4% against Mistral Large 3 2512 42.9%, 52.5 points apart on a 0 to 100 scale.
Output price: Claude Opus 4.5 $25.00 against Mistral Large 3 2512 $1.50 per million output tokens, 16.7x apart.
Context window: Claude Opus 4.5 takes 200K tokens, Mistral Large 3 2512 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
Category	Claude Opus 4.5	Bars	Mistral Large 3 2512	Ties
Coding	2		0
Intelligence	1		0
Reasoning	2		0
Math	2		0
Knowledge	7		0
Web design	8		0
General	3		0
All shared boards	25		0

CodingLike-for-likeSix of these boards feed the Vibe Coding Index20

Coding benchmarks for Claude Opus 4.5 and Mistral Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
SWE-bench Verified	79.2%	Not measured	Only Claude Opus 4.5 measured
SWE-bench (full test set)	52.6%	Not measured	Only Claude Opus 4.5 measured
SWE-bench Multilingual	70.7%	Not measured	Only Claude Opus 4.5 measured
LMArena WebDev	1494	Not measured	Only Claude Opus 4.5 measured
AA Coding Index	Not measured	20.1	Only Mistral Large 3 2512 measured
LiveCodeBench (Vals AI)	83.7%	55.3%	Claude Opus 4.5
SWE-bench Verified (Vals AI)	76.4%	41.4%	Claude Opus 4.5
Vibe Code Bench (Vals AI)	20.6%	Not measured	Only Claude Opus 4.5 measured
LiveCodeBench (Artificial Analysis run)	87.1%	Not measured	Only Claude Opus 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)	47.0%	Not measured	Only Claude Opus 4.5 measured
Terminal-Bench	63.1%	Not measured	Only Claude Opus 4.5 measured
GSO-Bench	26.5%	Not measured	Only Claude Opus 4.5 measured
WeirdML	63.7%	Not measured	Only Claude Opus 4.5 measured
Cybench	82.0%	Not measured	Only Claude Opus 4.5 measured
ALE-Bench	Not measured	264.7	Only Mistral Large 3 2512 measured
LMArena Text: coding	1503	Not measured	Only Claude Opus 4.5 measured
LMArena Text: software and IT	1483	Not measured	Only Claude Opus 4.5 measured
LMArena WebDev: React	1478	Not measured	Only Claude Opus 4.5 measured
LMArena WebDev: HTML	1510	Not measured	Only Claude Opus 4.5 measured
Neither model has a result on the other 20 boards here

IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10

Intelligence benchmarks for Claude Opus 4.5 and Mistral Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
AA Intelligence Index	29.1	9.3	Claude Opus 4.5
Epoch Capabilities Index	150.1	Not measured	Only Claude Opus 4.5 measured

Agentic workDirectional onlyPublic boards, shown as published, kept out of the index14 boards, none shared

Agentic work benchmarks for Claude Opus 4.5 and Mistral Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
AA Agentic Index	Not measured	1.0	Only Mistral Large 3 2512 measured
Design Arena: agents building web apps	1159	Not measured	Only Claude Opus 4.5 measured
Design Arena: agents building full-stack apps	1156	Not measured	Only Claude Opus 4.5 measured
Design Arena: agents building mobile apps	1189	Not measured	Only Claude Opus 4.5 measured
Design Arena: agents building Android apps	1175	Not measured	Only Claude Opus 4.5 measured
τ²-Bench Telecom	89.5%	Not measured	Only Claude Opus 4.5 measured
METR time horizons	75.0%	Not measured	Only Claude Opus 4.5 measured
Remote Labor Index	3.8%	Not measured	Only Claude Opus 4.5 measured
GDPval	45.5%	Not measured	Only Claude Opus 4.5 measured
BALROG	43.5%	Not measured	Only Claude Opus 4.5 measured
DeepResearch Bench	54.8%	Not measured	Only Claude Opus 4.5 measured
OSWorld	66.3%	Not measured	Only Claude Opus 4.5 measured
Vending-Bench 2	$4,967	Not measured	Only Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)	77.5%	Not measured	Only Claude Opus 4.5 measured
Neither model has a result on the other 27 boards here

ReasoningLike-for-likePublic boards, shown as published, kept out of the index20

Reasoning benchmarks for Claude Opus 4.5 and Mistral Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
GPQA Diamond	85.9%	68.4%	Claude Opus 4.5
MMMU Pro (Vals AI)	83.0%	66.2%	Claude Opus 4.5
GPQA Diamond (Artificial Analysis run)	86.6%	Not measured	Only Claude Opus 4.5 measured
Humanity's Last Exam (Artificial Analysis run)	30.1%	Not measured	Only Claude Opus 4.5 measured
GPQA Diamond (Epoch AI run)	86.0%	Not measured	Only Claude Opus 4.5 measured
ARC-AGI	80.0%	Not measured	Only Claude Opus 4.5 measured
ARC-AGI-2	37.6%	Not measured	Only Claude Opus 4.5 measured
SimpleBench	62.0%	Not measured	Only Claude Opus 4.5 measured
Chess puzzles	14.0%	Not measured	Only Claude Opus 4.5 measured
Mystery game puzzles	22.0%	Not measured	Only Claude Opus 4.5 measured
EBR-bench	14.3%	Not measured	Only Claude Opus 4.5 measured
VPCT	40.0%	Not measured	Only Claude Opus 4.5 measured
LMArena Text: hard prompts	1476	Not measured	Only Claude Opus 4.5 measured
LMArena Text: expert	1487	Not measured	Only Claude Opus 4.5 measured
LMArena Text: hard prompts in English	1482	Not measured	Only Claude Opus 4.5 measured
Kagi LLM Benchmark	80.2%	Not measured	Only Claude Opus 4.5 measured
Neither model has a result on the other 6 boards here

MathLike-for-likePublic boards, shown as published, kept out of the index20

Math benchmarks for Claude Opus 4.5 and Mistral Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
AIME	95.4%	42.9%	Claude Opus 4.5
MGSM (Vals AI)	95.2%	85.4%	Claude Opus 4.5
AA Math Index	91.3	Not measured	Only Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)	91.3%	Not measured	Only Claude Opus 4.5 measured
OTIS Mock AIME	86.1%	Not measured	Only Claude Opus 4.5 measured
FrontierMath, tiers 1 to 3	34.4%	Not measured	Only Claude Opus 4.5 measured
FrontierMath, tier 4	4.9%	Not measured	Only Claude Opus 4.5 measured
ProofBench	36.0%	Not measured	Only Claude Opus 4.5 measured
LMArena Text: math	1463	Not measured	Only Claude Opus 4.5 measured
LMArena Text: mathematical work	1468	Not measured	Only Claude Opus 4.5 measured
Neither model has a result on the other 3 boards here

KnowledgeLike-for-likePublic boards, shown as published, kept out of the index70

Knowledge benchmarks for Claude Opus 4.5 and Mistral Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
MMLU Pro	87.3%	79.8%	Claude Opus 4.5
LegalBench (Vals AI)	84.6%	79.1%	Claude Opus 4.5
CaseLaw (Vals AI)	62.6%	61.4%	Claude Opus 4.5
CorpFin (Vals AI)	65.1%	61.0%	Claude Opus 4.5
TaxEval (Vals AI)	74.9%	73.1%	Claude Opus 4.5
MortgageTax (Vals AI)	68.7%	52.1%	Claude Opus 4.5
MedQA (Vals AI)	95.9%	82.2%	Claude Opus 4.5
MedCode (Vals AI)	49.2%	Not measured	Only Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)	89.5%	Not measured	Only Claude Opus 4.5 measured
SimpleQA Verified	45.7%	Not measured	Only Claude Opus 4.5 measured
GeoBench	75.0%	Not measured	Only Claude Opus 4.5 measured
LMArena Text: science	1454	Not measured	Only Claude Opus 4.5 measured
LMArena Text: medicine and healthcare	1444	Not measured	Only Claude Opus 4.5 measured
LMArena Text: legal and government	1459	Not measured	Only Claude Opus 4.5 measured
LMArena Text: business and finance	1448	Not measured	Only Claude Opus 4.5 measured
FACTS Benchmark Suite	43.9%	Not measured	Only 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 Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
Design Arena: websites	1247	1162	Claude Opus 4.5
Design Arena: UI components	1238	1102	Claude Opus 4.5
Design Arena: game dev	1229	1080	Claude Opus 4.5
Design Arena: data viz	1243	1136	Claude Opus 4.5
Design Arena: 3D	1214	1100	Claude Opus 4.5
Design Arena: all code categories	1242	1142	Claude Opus 4.5
Design Arena: SVG	1181	993	Claude Opus 4.5
Design Arena: ASCII art	1190	1069	Claude 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 index30

General benchmarks for Claude Opus 4.5 and Mistral Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
SAGE (Vals AI)	52.1%	24.6%	Claude Opus 4.5
MedScribe (Vals AI)	85.3%	Not measured	Only Claude Opus 4.5 measured
IFBench	58.0%	Not measured	Only Claude Opus 4.5 measured
Long context reasoning (AA-LCR)	77.3%	Not measured	Only Claude Opus 4.5 measured
DTBench	89.9%	65.1%	Claude Opus 4.5
LMCA	44.5%	16.7%	Claude Opus 4.5
CL-bench	21.1%	Not measured	Only Claude Opus 4.5 measured
Furniture assembly	28.3%	Not measured	Only Claude Opus 4.5 measured
LMArena Text	1451	Not measured	Only Claude Opus 4.5 measured
LMArena Text: instruction following	1478	Not measured	Only Claude Opus 4.5 measured
LMArena Text: creative writing	1445	Not measured	Only Claude Opus 4.5 measured
LMArena Text: English	1461	Not measured	Only Claude Opus 4.5 measured
LMArena Text: non-English	1438	Not measured	Only Claude Opus 4.5 measured
LMArena Text: Chinese	1470	Not measured	Only Claude Opus 4.5 measured
LMArena Text: German	1449	Not measured	Only Claude Opus 4.5 measured
LMArena Text: Japanese	1417	Not measured	Only Claude Opus 4.5 measured
LMArena Text: Korean	1424	Not measured	Only Claude Opus 4.5 measured
LMArena Text: French	1471	Not measured	Only Claude Opus 4.5 measured
LMArena Text: Spanish	1457	Not measured	Only Claude Opus 4.5 measured
LMArena Text: Russian	1447	Not measured	Only Claude Opus 4.5 measured
LMArena Text: Polish	1439	Not measured	Only Claude Opus 4.5 measured
LMArena Text: multi-turn	1466	Not measured	Only Claude Opus 4.5 measured
LMArena Text: longer queries	1479	Not measured	Only Claude Opus 4.5 measured
LMArena Text: writing and language	1452	Not measured	Only Claude Opus 4.5 measured
LMArena Text: entertainment and media	1434	Not measured	Only Claude Opus 4.5 measured
LMArena Document	1462	Not measured	Only 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 Mistral Large 3 2512
Benchmark	Claude Opus 4.5	Mistral Large 3 2512	Leader
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 Large 3 2512$0.0013Fits in one request

Mistral Large 3 2512 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request

Mistral Large 3 2512$0.029Fits in one request

Mistral Large 3 2512 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window

Mistral Large 3 2512$0.115Fits in one request

Mistral Large 3 2512 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 Large 3 2512
Specification	Anthropic Claude Opus 4.5	Mistral Large 3 2512
Maker	Anthropic	Mistral AI
Weights	No public weights listed	No public weights listed
Released	November 24, 2025	December 1, 2025
Context window	200K	262K
Input $/Mtok	$5.00	$0.50
Output $/Mtok	$25.00	$1.50
Coding index	44.0	Not benchmarked
Independent measurements behind it	3	1
Cost per solved task	$1.37	$0.77
Source	OpenRouter listing	OpenRouter listing

Questions

Is Claude Opus 4.5 better than Mistral Large 3 2512 for coding?

Only Claude Opus 4.5 has a coding score, 44.0 on the Vibe Coding Index; Mistral Large 3 2512 has none, so the two cannot be ranked on coding. Pick Mistral Large 3 2512 for output tokens 16.7x cheaper ($1.50 vs $25.00 per million) and a lower cost per solved task ($0.77 against $1.37).

Which is cheaper, Claude Opus 4.5 or Mistral Large 3 2512?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; Mistral Large 3 2512 costs $0.50 and $1.50. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and Mistral Large 3 2512 $0.77.

Which has the bigger context window, Claude Opus 4.5 or Mistral Large 3 2512?

Mistral Large 3 2512, with 262K tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs Mistral Large 3 2512 comparison based on?

25 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 Mistral Large 3 2512's on 1. Where only one model has a result, the page says so instead of naming a winner.

Claude Opus 4.5 or Mistral Large 3 2512: which to pick

Which one for your work

Coding

Intelligence

Agentic work

Reasoning

Math

Knowledge

Web design

Long documents

Everyday cost

Cost per solved task

At a glance

Benchmark by benchmark

What each workload costs

Chat turn

Repository review

Agent loop

Specification differences

Questions

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