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© 2026 CompareLLM. Public benchmark data aggregated from Arena Elo, LiveBench, SWE-bench & OpenRouter.

Every score has a dated snapshot.

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  3. Anthropic: Claude Sonnet 5 (batch) vs Codestral 25.01

Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Anthropic: Claude Sonnet 5 (batch) vs Codestral 25.01 benchmark

In this head-to-head showdown, Codestral 25.01 is more budget-friendly at $0.9/1M per 1M output tokens. Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose Anthropic: Claude Sonnet 5 (batch) if your priority is peak reasoning, complex code generation, and top preference Elo. Choose Codestral 25.01 if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

3 direct benchmark disciplines evaluated across capability, speed, and cost

Anthropic: Claude Sonnet 5 (batch) (1)Codestral 25.01 (2)
Anthropic: Claude Sonnet 5 (batch)
1 of 3 Wins
✓Context window
Codestral 25.01
2 of 3 Wins
✓Input price✓Output price
Anthropic
Leads 1 of 3 metrics
Anthropic: Claude Sonnet 5 (batch)

Auto-discovered from OpenRouter (anthropic/claude-sonnet-5:batch). Preview until a second source matches.

$5/1M out
Mistral
Leads 2 of 3 metrics
Codestral 25.01

Mistral code-specialist model.

CodestralElo 1,320$0.9/1M out
Top Rival Showdowns for Anthropic: Claude Sonnet 5 (batch)
All Matchups
Compare vs:vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Provs Qwen 3 Max
Preference Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar LeaderCodestral 25.01 Wins

Codestral 25.01

$0.9 / 1M output

Capability Percentiles

Relative percentile scores computed across all active models in the benchmark catalog.

Multi-Dimensional Capability Radar

Leaders Matchup Capability Radar

Comparing top Western standard models with China's leading frontier rival across 6 skill dimensions. Tap any spoke or dot to inspect.

Tap any node to inspect
0–100 %ile
Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

Anthropic: Claude Sonnet 5 (batch) (1)vsCodestral 25.01 (9)
Anthropic: Claude Sonnet 5 (batch): 1W (10%)Overall: Codestral 25.01Codestral 25.01: 9W (90%)
← Anthropic: Claude Sonnet 5 (batch)Codestral 25.01 →
🏆Codestral 25.01(5/5)

Intelligence & Reasoning

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

Benchmark
Anthropic: Claude Sonnet 5 (batch)vsCodestral 25.01
Preference Elo
—vs1,320
Coding Elo
—vs1,402
SWE-bench
—vs51.8%
LiveBench
—vs54%
GPQA Diamond
—vs58.4%
Anthropic: Claude Sonnet 5 (batch): 0WCodestral 25.01: 5W
🏆Codestral 25.01(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Anthropic: Claude Sonnet 5 (batch)vsCodestral 25.01
Output speed
—vs148 tok/s
Time to first token
—vs150 ms
Anthropic: Claude Sonnet 5 (batch): 0WCodestral 25.01: 2W
🏆Codestral 25.01(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Anthropic: Claude Sonnet 5 (batch)vsCodestral 25.01
Output price
$5/1Mvs$0.9/1M+$4.1/1M
Input price
$1/1Mvs$0.3/1M+$0.7/1M
Context window
1Mvs256k+744k
Anthropic: Claude Sonnet 5 (batch): 1WCodestral 25.01: 2W

Side-by-Side Benchmark Matrix

Preference Elo
Anthropic: Claude Sonnet 5 (batch)—
Codestral 25.011,320
lmarena · Aug 17, 2026
Coding Elo
Anthropic: Claude Sonnet 5 (batch)—
Codestral 25.011,402
lmarena · Aug 17, 2026
LiveBench
Anthropic: Claude Sonnet 5 (batch)—
Codestral 25.0154%
livebench · Aug 17, 2026
SWE-bench
Anthropic: Claude Sonnet 5 (batch)—
Codestral 25.0151.8%
swebench · Aug 17, 2026
GPQA Diamond
Anthropic: Claude Sonnet 5 (batch)—
Codestral 25.0158.4%
seed-bootstrap · Aug 1, 2026
Time to first token
Anthropic: Claude Sonnet 5 (batch)—
Codestral 25.01150 ms
seed-bootstrap · Aug 1, 2026
Output speed
Anthropic: Claude Sonnet 5 (batch)—
Codestral 25.01148 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.7/1M
Anthropic: Claude Sonnet 5 (batch)$1/1M
openrouter · Aug 17, 2026
Codestral 25.01$0.3/1M
seed-bootstrap · Aug 1, 2026
Output price+$4.1/1M
Anthropic: Claude Sonnet 5 (batch)$5/1M
openrouter · Aug 17, 2026
Codestral 25.01$0.9/1M
seed-bootstrap · Aug 1, 2026
Context window+744k
Anthropic: Claude Sonnet 5 (batch)1M
openrouter · Aug 17, 2026
Codestral 25.01256k
seed-bootstrap · Aug 1, 2026
BenchmarkAnthropic: Claude Sonnet 5 (batch)Codestral 25.01Advantage Delta
Preference Elo—
1,320
lmarena · Aug 17, 2026
—
Coding Elo—
1,402
lmarena · Aug 17, 2026
—
LiveBench—
54%
livebench · Aug 17, 2026
—
SWE-bench—
51.8%
swebench · Aug 17, 2026
—
GPQA Diamond—
58.4%
seed-bootstrap · Aug 1, 2026
—
Time to first token—
150 ms
seed-bootstrap · Aug 1, 2026
—
Output speed—
148 tok/s
seed-bootstrap · Aug 1, 2026
—
Input price
$1/1M
openrouter · Aug 17, 2026
$0.3/1M
seed-bootstrap · Aug 1, 2026
+$0.7/1M
Output price
$5/1M
openrouter · Aug 17, 2026
$0.9/1M
seed-bootstrap · Aug 1, 2026
+$4.1/1M
Context window
1M
openrouter · Aug 17, 2026
256k
seed-bootstrap · Aug 1, 2026
+744k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 78% 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)
Anthropic: Claude Sonnet 5 (batch)$110.00 / mo
In: $35Out: $75
Codestral 25.01$24.00 / mo
In: $10.5Out: $13.5
Estimated Cost Delta

Codestral 25.01 is estimated to save $86.00/month ($1,032/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Codestral 25.01:Pick Codestral 25.01 when you are optimizing output cost.
  • 2
    Anthropic: Claude Sonnet 5 (batch):Pick Anthropic: Claude Sonnet 5 (batch) for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatCodestral 25.01

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

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGAnthropic: Claude Sonnet 5 (batch)

Larger window (1M).

Screenshots / visionCodestral 25.01

Codestral 25.01 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsinsufficient dataNeed SWE-bench on both sides.
High-volume chatCodestral 25.01Lower output list price ($0.9/1M).
Voice / low-latency UIinsufficient dataNeed TTFT on both sides.
Long-document RAGAnthropic: Claude Sonnet 5 (batch)Larger window (1M).
Screenshots / visionCodestral 25.01Codestral 25.01 is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchJan 14, 2025

Codestral 25.01: Mistral’s code-specialist row

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

Community Sentiment

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
Anthropic

Anthropic: Claude Sonnet 5 (batch)

Elo n/a
SWE-bench—
Speed (tok/s)1M
Input / 1M Tokens$1/1M
Output / 1M Tokens$5/1M
Mistral

Codestral 25.01

Elo 1,320
SWE-bench51.8%
Speed (tok/s)148 tok/s
Input / 1M Tokens$0.3/1M
Output / 1M Tokens$0.9/1M

Frequently Asked Questions

Which is better overall, Anthropic: Claude Sonnet 5 (batch) or Codestral 25.01?
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, Anthropic: Claude Sonnet 5 (batch) or Codestral 25.01?
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?
Codestral 25.01 output tokens are $0.9/1M versus $5/1M. Input prices and retry rates still move the real bill.
Which is faster, Anthropic: Claude Sonnet 5 (batch) or Codestral 25.01?
We do not have TTFT for both models.
Which has the larger context window?
Anthropic: Claude Sonnet 5 (batch) accepts 1M tokens versus 256k.
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. Anthropic: Claude Sonnet 5 (batch) and Codestral 25.01 Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Jan 14, 2025

    Codestral 25.01: Mistral’s code-specialist row

Similar Head-to-Head Comparisons

All Anthropic: Claude Sonnet 5 (batch) matchups →|All Codestral 25.01 matchups →
Codestral 25.01 vs Mistral Large 3 (next mistral)Claude Opus 4.5 vs Codestral 25.01Claude Opus 4.6 vs Codestral 25.01Claude Sonnet 4.5 vs Codestral 25.01Claude Opus 5 vs Codestral 25.01Claude Fable 5 vs Codestral 25.01