Head-to-head comparison

Claude Opus 4.7 vs. Mistral Large 3

Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.

shared result series: 11
distinct benchmarks: 11
latest retrieval: 2026-09-29

First modelSecond model

Specifications

General specifications

Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.

Specifications for Claude Opus 4.7 and Mistral Large 3
Attribute	Claude Opus 4.7	Mistral Large 3
Provider	Anthropic	Mistral AI
Released	Apr 2026	Dec 2, 2025
Availability	Active	Active
Model type	Proprietary	Open Weights
Parameters	Not published	675B, 41B active
Architecture	Not published	Mixture of Experts
Context window	1,000,000 tokens	262,144 tokens
Knowledge cutoff	January 2026	Not published
Technical sources	Model, Knowledge cutoff	Model, Context

Pricing

API pricing compared

The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.

API pricing for Claude Opus 4.7 and Mistral Large 3
Price type	Claude Opus 4.7	Mistral Large 3
API input	$5	$0.5
API output	$25	$1.5
Cache read	$0.5	Not listed
Cache write (5 min.)	$6.25	Not listed
Cache write (1 hr.)	$10	Not listed
Price verified	09/22/2026 Source	09/22/2026 Source

Claude Opus 4.7Mistral Large 3

API inputUSD per 1M tokens, base tier

Claude Opus 4.7$5

Mistral Large 3$0.5

API outputUSD per 1M tokens, base tier

Claude Opus 4.7$25

Mistral Large 3$1.5

Key to the marks:better valuebetter, but not conclusivetie

Pricing by provider

Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.

Provider pricing for Claude Opus 4.7 and Mistral Large 3
Model	Provider	Purchase route and tariff	Input per 1M tokens	Output per 1M tokens	Source
Claude Opus 4.7	Anthropic	Direct from developerStandard API	Lowest listed price: $5	Lowest listed price: $25	Source09/22/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/eu-west-1	$5.5	$27.5	Source10/13/2026
	Amazon Bedrock	Via OpenRouteramazon-bedrock/global	Lowest listed price: $5	Lowest listed price: $25	Source10/13/2026
	Anthropic	Via OpenRouteranthropic	Lowest listed price: $5	Lowest listed price: $25	Source10/13/2026
	Azure	Via OpenRouterazure/global	Lowest listed price: $5	Lowest listed price: $25	Source10/13/2026
	Claude Platform on AWS	Via OpenRouterclaude-on-aws	Lowest listed price: $5	Lowest listed price: $25	Source10/13/2026
	Google	Via OpenRoutergoogle-vertex/europe	$5.5	$27.5	Source10/13/2026
	Google	Via OpenRoutergoogle-vertex/global	Lowest listed price: $5	Lowest listed price: $25	Source10/13/2026
	Google	Via OpenRoutergoogle-vertex/us	$5.5	$27.5	Source10/13/2026
Mistral Large 3	Mistral AI	Direct from developerStandard API	Lowest listed price: $0.5	Lowest listed price: $1.5	Source09/22/2026
	Mistral	Via OpenRoutermistral/eu	$0.55	$1.65	Source10/13/2026
	Mistral	Via OpenRoutermistral/zdr	Lowest listed price: $0.5	Lowest listed price: $1.5	Source10/13/2026

Performance

Shared benchmarks

Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.

Capability profile from matched benchmarks

Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.

Claude Opus 4.7

Mistral Large 3

Coding: 100 / 57.8 (2 benchmark families)

Reasoning: 100 / 75.9 (1 benchmark family)

Knowledge: 100 / 88.8 (1 benchmark family)

Finance: 100 / 87.9 (3 benchmark families)

Legal: 100 / 92.8 (1 benchmark family)

Agentic tasks: 100 / 13.1 (1 benchmark family)

Multimodal: 100 / 77.4 (1 benchmark family)

Education: 100 / 43.8 (1 benchmark family)

11 matched rows from 11 benchmark families were considered. The radar shows 8 of 8 comparable categories.

Claude Opus 4.7Mistral Large 3

CorpFin v2Overall. Higher is better. No documented setup difference

Claude Opus 4.766.084 %

Mistral Large 361.033 %

GPQA DiamondOverall. Higher is better. No documented setup difference

Claude Opus 4.790.152 %

Mistral Large 368.434 %

LegalBenchOverall. Higher is better. No documented setup difference

Claude Opus 4.785.251 %

Mistral Large 379.138 %

LiveCodeBench v6Overall. Higher is better. No documented setup difference

Claude Opus 4.785.073 %

Mistral Large 355.337 %

MMLU-ProOverall. Higher is better. No documented setup difference

Claude Opus 4.789.871 %

Mistral Large 379.823 %

MMMU-ProOverall. Higher is better. No documented setup difference

Claude Opus 4.785.549 %

Mistral Large 366.185 %

MortgageTaxOverall. Higher is better. No documented setup difference

Claude Opus 4.770.27 %

Mistral Large 352.106 %

SAGEOverall. Higher is better. No documented setup difference

Claude Opus 4.756.103 %

Mistral Large 324.595 %

SWE-bench VerifiedOverall. Higher is better. No documented setup difference

Claude Opus 4.782 %

Mistral Large 341.4 %

TaxEval v2Overall. Higher is better. No documented setup difference

Claude Opus 4.775.266 %

Mistral Large 373.058 %

Terminal-Bench 2.0Overall. Higher is better. No documented setup difference

Claude Opus 4.768.539 %

Mistral Large 38.989 %

Key to the marks:better valuebetter, but not conclusivetie

Benchmark scores for Claude Opus 4.7 and Mistral Large 3
Benchmark and task	Claude Opus 4.7	Mistral Large 3	Source
CorpFin v2Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better	Winner66.084 %	61.033 %	Vals AI Source details Data as of: 08/12/2026
GPQA DiamondOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner90.152 %	68.434 %	Vals AI Source details Data as of: 09/01/2026
LegalBenchOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner85.251 %	79.138 %	Vals AI Source details Data as of: 09/27/2026
LiveCodeBench v6Overall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner85.073 %	55.337 %	Vals AI Source details Data as of: 09/01/2026
MMLU-ProOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner89.871 %	79.823 %	Vals AI Source details Data as of: 09/01/2026
MMMU-ProOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner85.549 %	66.185 %	Vals AI Source details Data as of: 09/01/2026
MortgageTaxOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner70.27 %	52.106 %	Vals AI Source details Data as of: 09/01/2026
SAGEOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner56.103 %	24.595 %	Vals AI Source details Data as of: 09/26/2026
SWE-bench VerifiedOverall Test details No documented difference in the test setupVersion: 1Metric: accuracyScoring: Higher is better	Winner82 %	41.4 %	Vals AI Source details Data as of: 09/01/2026
TaxEval v2Overall Test details No documented difference in the test setupVersion: 2Metric: accuracyScoring: Higher is better	Winner75.266 %	73.058 %	Vals AI Source details Data as of: 09/01/2026
Terminal-Bench 2.0Overall Test details No documented difference in the test setupVersion: 2.0Metric: accuracyScoring: Higher is better	Winner68.539 %	8.989 %	Vals AI Source details Data as of: 06/04/2026
Key to the marks:better valuebetter, but not conclusivetie

Our model tests

Our tests

SVG short test

One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.

Shared test round: 4ae5d8eeb9a9

Claude Opus 4.7

Unavailable in this round

Mistral Large 3

API request failed. The model was not evaluated.

Earlier tests

Pelican on a bicycle

A community classic for free-form SVG drawing.

Claude Opus 4.7

Reasoning (requested): high

Current attempt

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: anthropic/claude-opus-4.7
API model reported in response: anthropic/claude-opus-4.7
Reasoning setting: high
Pinned endpoint: Anthropic | anthropic/claude-4.7-opus-20260416
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 19.9 s

Visually reviewed. This individual test does not establish overall model quality.

Mistral Large 3

Reasoning (model default): no reasoning mode Source

Current attempt

Run date: Oct 1, 2026
API provider: openrouter
Requested API model: mistralai/mistral-large-2512
API model reported in response: mistralai/mistral-large-2512
Reasoning setting: not specified
Pinned endpoint: Mistral | mistralai/mistral-large-2512
Temperature: Provider default
Token limit including reasoning: 8,192 tokens
Test protocol: community-visual-tests-v1
Technical checks: Passed, not a quality rating
Response time: 14.2 s

Visually reviewed. This individual test does not establish overall model quality.

Earlier attempts (1)

Sep 7, 2026API request failedReasoning setting: not specified

Prompt and test conditions

Generate an SVG of a pelican riding a bicycle

Token limit including reasoning: 8,192 tokens

Task origin (Simon Willison)

How to read this comparison

Winning one benchmark is not an overall verdict

Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.

The standard price table uses direct developer rates. The provider comparison labels OpenRouter endpoints, regions, and special tariffs separately.

Every result links to its measurement source and retrieval date. Labels distinguish vendor reports, official benchmark leaderboards, and independent evaluations. Disputed or archived results are excluded.

More matchups

Compare Claude Opus 4.7 and Mistral Large 3 with other leading models using the same data and benchmark logic.

View the complete LLM comparison

Claude Opus 4.7 vs. Mistral Large 3

Change model selection

General specifications

API pricing compared

Shared benchmarks

Capability profile from matched benchmarks

Our tests

SVG short test

Claude Opus 4.7

Mistral Large 3

Pelican on a bicycle

Winning one benchmark is not an overall verdict

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