Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4.5 vs Codestral 25.01 benchmark

Name: Claude Opus 4.5 vs Codestral 25.01 AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4.5 (Anthropic) and Codestral 25.01 (Mistral) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, Claude Opus 4.5 is ahead by 248 points (1,568 vs 1,320; seed-bootstrap (Aug 1, 2026)). On SWE-bench coding, Claude Opus 4.5 resolves 76.8% versus 51.8% (seed-bootstrap (Aug 1, 2026)). Codestral 25.01 streams faster (148 tok/s) while Codestral 25.01 is the cheaper output token ($0.9/1M). Codestral 25.01 has the larger context window (256k 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

Codestral 25.01

Mistral code-specialist model.

Elo 1,320$0.9/1M out

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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 (5)vsCodestral 25.01 (5)

Claude Opus 4.5: 5W (50%)Overall: Even matchupCodestral 25.01: 5W (50%)

← Claude Opus 4.5Codestral 25.01 →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,568vs1,320

Coding Elo

1,574vs1,402

SWE-bench

76.8%vs51.8%

LiveBench

71.2%vs54%

GPQA Diamond

84.1%vs58.4%

Claude Opus 4.5: 5WCodestral 25.01: 0W

Codestral 25.01 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs148 tok/s

Time to first token

380 msvs150 ms

Claude Opus 4.5: 0WCodestral 25.01: 2W

Codestral 25.01 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$0.9/1M

Input price

$5/1Mvs$0.3/1M

Context window

200kvs256k

Claude Opus 4.5: 0WCodestral 25.01: 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 AdvantageEven 3–3

Preference Elo

Claude Opus 4.5

248 pts advantage

Throughput Speed

Codestral 25.01

86 tok/s faster

Price Efficiency

Codestral 25.01

$24.10/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

+19%1,568

EloHigh is better

1,320

Code Elo

High is better

+12%1,574

Code EloHigh is better

1,402

LiveBench

High is better

+32%71.2%

LiveBenchHigh is better

54%

SWE-bench

High is better

+48%76.8%

SWE-benchHigh is better

51.8%

GPQA

High is better

+44%84.1%

GPQAHigh is better

58.4%

TTFT

Low is better

380 ms

TTFTLow is better

150 ms+153%

Speed

High is better

62 tok/s

SpeedHigh is better

148 tok/s+139%

In $

Low is better

$5/1M

In $Low is better

$0.3/1M+1567%

Out $

Low is better

$25/1M

Out $Low is better

$0.9/1M+2678%

Context

High is better

200k

ContextHigh is better

256k+28%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 96% with Codestral 25.01

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

Codestral 25.01$24.00 / mo

In: $10.50Out: $13.50

Estimated Cost Delta

Codestral 25.01 is estimated to save $526.00/month ($6,312/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4.5:Pick Claude Opus 4.5 when repo-level coding accuracy is the constraint.
2
Codestral 25.01:Pick Codestral 25.01 when you are optimizing output cost.
3
Codestral 25.01:Pick Codestral 25.01 when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.5

Higher SWE-bench (76.8%).

High-volume chatCodestral 25.01

Lower output list price ($0.9/1M).

Voice / low-latency UICodestral 25.01

Lower TTFT (150 ms).

Long-document RAGCodestral 25.01

Larger window (256k).

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	Claude Opus 4.5	Higher SWE-bench (76.8%).
High-volume chat	Codestral 25.01	Lower output list price ($0.9/1M).
Voice / low-latency UI	Codestral 25.01	Lower TTFT (150 ms).
Long-document RAG	Codestral 25.01	Larger window (256k).
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.

launchJan 14, 2025

Codestral 25.01: Mistral’s code-specialist row

Jan 2025 code model. Still a valid cheap-coding compare. Not a chatbot.

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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

Codestral 25.01

Elo 1,320

LiveBench54%

SWE-bench51.8%

Speed148 tok/s

Output cost$0.9/1M

Frequently Asked Questions

Which is better overall, Claude Opus 4.5 or Codestral 25.01?: Claude Opus 4.5 has the higher preference Elo in our latest snapshot (1,568). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4.5 or Codestral 25.01?: Claude Opus 4.5 leads SWE-bench at 76.8% vs 51.8%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: Codestral 25.01 output tokens are $0.9/1M versus $25/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4.5 or Codestral 25.01?: Codestral 25.01 has the lower time-to-first-token (150 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: Codestral 25.01 accepts 256k 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 Codestral 25.01 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 Codestral 25.01 matchups →

Claude Opus 4.5 vs Claude Opus 4 (previous opus)Claude Opus 4.5 vs Claude Opus 4.6 (next opus)Codestral 25.01 vs Mistral Large 3 (next mistral)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 Opus 4.5 vs Codestral 25.01 benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4.5 (5)vsCodestral 25.01 (5)

Claude Opus 4.5: 5W (50%)Overall: Even matchupCodestral 25.01: 5W (50%)

← Claude Opus 4.5Codestral 25.01 →

Claude Opus 4.5 (5/5)

Intelligence & Reasoning

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

Preference Elo

1,568vs1,320

Coding Elo

1,574vs1,402

SWE-bench

76.8%vs51.8%

LiveBench

71.2%vs54%

GPQA Diamond

84.1%vs58.4%

Claude Opus 4.5: 5WCodestral 25.01: 0W

Codestral 25.01 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

62 tok/svs148 tok/s

Time to first token

380 msvs150 ms

Claude Opus 4.5: 0WCodestral 25.01: 2W

Codestral 25.01 (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$25/1Mvs$0.9/1M

Input price

$5/1Mvs$0.3/1M

Context window

200kvs256k

Claude Opus 4.5: 0WCodestral 25.01: 3W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4.5

Higher SWE-bench (76.8%).

High-volume chatCodestral 25.01

Lower output list price ($0.9/1M).

Voice / low-latency UICodestral 25.01

Lower TTFT (150 ms).

Long-document RAGCodestral 25.01

Larger window (256k).

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	Claude Opus 4.5	Higher SWE-bench (76.8%).
High-volume chat	Codestral 25.01	Lower output list price ($0.9/1M).
Voice / low-latency UI	Codestral 25.01	Lower TTFT (150 ms).
Long-document RAG	Codestral 25.01	Larger window (256k).
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 Codestral 25.01?

Claude Opus 4.5 has the higher preference Elo in our latest snapshot (1,568). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4.5 or Codestral 25.01?

Claude Opus 4.5 leads SWE-bench at 76.8% vs 51.8%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

Codestral 25.01 output tokens are $0.9/1M versus $25/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4.5 or Codestral 25.01?

Codestral 25.01 has the lower time-to-first-token (150 ms vs 380 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

Codestral 25.01 accepts 256k 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 Codestral 25.01 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

Claude Opus 4.5

Codestral 25.01

Codestral 25.01

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

Codestral 25.01: Mistral’s code-specialist row

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Claude Opus 4.5

Codestral 25.01

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

Claude Opus 4.5

Codestral 25.01

Codestral 25.01

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

Codestral 25.01: Mistral’s code-specialist row

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Claude Opus 4.5

Codestral 25.01

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons