Pairwise benchmark snapshot · Aug 16, 2026noindex (thin pair)

Claude Opus 4.5 vs Mistral: Mistral Large 3 2512 benchmark

Name: Claude Opus 4.5 vs Mistral: Mistral Large 3 2512 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4.5 (Anthropic) and Mistral: Mistral Large 3 2512 (Mistral) using the latest snapshots we have as of Aug 16, 2026. Mistral: Mistral Large 3 2512 wins on output price at $1.5/1M. Mistral: Mistral Large 3 2512 has the larger context window (262k tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Anthropic

Claude Opus 4.5

Anthropic frontier coding and computer-use model. SWE-bench leader on the official mini-SWE-agent harness in the Feb 2026 refresh.

Elo 1,568$25/1M out

Mistral

Mistral: Mistral Large 3 2512

Auto-discovered from OpenRouter (mistralai/mistral-large-2512). Preview until a second source matches.

$1.5/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet vs GPT-5

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.5 (7)vsMistral: Mistral Large 3 2512 (3)

Claude Opus 4.5: 7W (70%)Overall: Claude Opus 4.5Mistral: Mistral Large 3 2512: 3W (30%)

← Claude Opus 4.5Mistral: Mistral Large 3 2512 →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,568vs—

Coding Elo

1,574vs—

SWE-bench

76.8%vs—

LiveBench

71.2%vs—

GPQA Diamond

84.1%vs—

Claude Opus 4.5: 5WMistral: Mistral Large 3 2512: 0W

Claude Opus 4.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs—

Time to first token

380 msvs—

Claude Opus 4.5: 2WMistral: Mistral Large 3 2512: 0W

Mistral: Mistral Large 3 2512 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$1.5/1M

Input price

$5/1Mvs$0.5/1M

Context window

200kvs262k

Claude Opus 4.5: 0WMistral: Mistral Large 3 2512: 3W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageClaude Opus 4.5 4/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Mistral: Mistral Large 3 2512

$23.50/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,568

EloHigh is better

—

Code Elo

High is better

1,574

Code EloHigh is better

—

LiveBench

High is better

71.2%

LiveBenchHigh is better

—

SWE-bench

High is better

76.8%

SWE-benchHigh is better

—

GPQA

High is better

84.1%

GPQAHigh is better

—

TTFT

Low is better

380 ms

TTFTLow is better

—

Speed

High is better

62 tok/s

SpeedHigh is better

—

In $

Low is better

$5/1M

In $Low is better

$0.5/1M+900%

Out $

Low is better

$25/1M

Out $Low is better

$1.5/1M+1567%

Context

High is better

200k

ContextHigh is better

262k+31%

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 93% with Mistral: Mistral Large 3 2512

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Claude Opus 4.5$550.00 / mo

In: $175.00Out: $375.00

Mistral: Mistral Large 3 2512$40.00 / mo

In: $17.50Out: $22.50

Estimated Cost Delta

Mistral: Mistral Large 3 2512 is estimated to save $510.00/month ($6,120/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Mistral: Mistral Large 3 2512:Pick Mistral: Mistral Large 3 2512 when you are optimizing output cost.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Mistral Large 3 2512

Lower output list price ($1.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMistral: Mistral Large 3 2512

Larger window (262k).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Mistral: Mistral Large 3 2512	Lower output list price ($1.5/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Mistral: Mistral Large 3 2512	Larger window (262k).
Screenshots / vision	Claude Opus 4.5	Claude Opus 4.5 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

launchFeb 20, 2026

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

The Feb refresh made 4.5 a coding reference. Newer Opus SKUs exist; this row stays as the dated harness point.

Community Sentiment

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CompareLLM Matrix

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LIVE

Anthropic

Claude Opus 4.5

Elo 1,568

LiveBench71.2%

SWE-bench76.8%

Speed62 tok/s

Output cost$25/1M

Mistral

Mistral: Mistral Large 3 2512

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.5/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.5 or Mistral: Mistral Large 3 2512?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Claude Opus 4.5 or Mistral: Mistral Large 3 2512?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Mistral: Mistral Large 3 2512 output tokens are $1.5/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.5 or Mistral: Mistral Large 3 2512?: We do not have TTFT for both models.
Which has the larger context window?: Mistral: Mistral Large 3 2512 accepts 262k tokens versus 200k.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude Opus 4.5 and Mistral: Mistral Large 3 2512 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Claude Opus 4.5 matchups →|All Mistral: Mistral Large 3 2512 matchups →

Claude Opus 4.5 vs Claude Opus 4 (previous opus)Claude Opus 4.5 vs Claude Opus 4.6 (next opus)Claude Sonnet 5 vs Claude Opus 4.5 Claude Opus 4.8 vs Claude Opus 4.5 Claude Sonnet 4.5 vs Claude Opus 4.5 Claude Fable 5 vs Claude Opus 4.5

Claude Opus 4.5 vs Mistral: Mistral Large 3 2512 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.5 (7)vsMistral: Mistral Large 3 2512 (3)

Claude Opus 4.5: 7W (70%)Overall: Claude Opus 4.5Mistral: Mistral Large 3 2512: 3W (30%)

← Claude Opus 4.5Mistral: Mistral Large 3 2512 →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,568vs—

Coding Elo

1,574vs—

SWE-bench

76.8%vs—

LiveBench

71.2%vs—

GPQA Diamond

84.1%vs—

Claude Opus 4.5: 5WMistral: Mistral Large 3 2512: 0W

Claude Opus 4.5 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs—

Time to first token

380 msvs—

Claude Opus 4.5: 2WMistral: Mistral Large 3 2512: 0W

Mistral: Mistral Large 3 2512 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$1.5/1M

Input price

$5/1Mvs$0.5/1M

Context window

200kvs262k

Claude Opus 4.5: 0WMistral: Mistral Large 3 2512: 3W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatMistral: Mistral Large 3 2512

Lower output list price ($1.5/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGMistral: Mistral Large 3 2512

Larger window (262k).

Screenshots / visionClaude Opus 4.5

Claude Opus 4.5 is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Mistral: Mistral Large 3 2512	Lower output list price ($1.5/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	Mistral: Mistral Large 3 2512	Larger window (262k).
Screenshots / vision	Claude Opus 4.5	Claude Opus 4.5 is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Claude Opus 4.5 or Mistral: Mistral Large 3 2512?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Claude Opus 4.5 or Mistral: Mistral Large 3 2512?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Mistral: Mistral Large 3 2512 output tokens are $1.5/1M versus $25/1M. Input prices and retry rates still move the real bill.

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

We do not have TTFT for both models.

Which has the larger context window?

Mistral: Mistral Large 3 2512 accepts 262k tokens versus 200k.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Claude Opus 4.5 and Mistral: Mistral Large 3 2512 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Mistral: Mistral Large 3 2512

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.5

Mistral: Mistral Large 3 2512

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Mistral: Mistral Large 3 2512

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

Claude Opus 4.5 and the Feb 2026 SWE-bench row we still cite

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.5

Mistral: Mistral Large 3 2512

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons