CompareLLM.ai
Live
Leaderboard
Models
Compare
Best of & Stacks
Research & News
…
CompareLLM.ai
Precision Benchmarks

Programmatic, dated AI model benchmarks, head-to-head comparisons, and Stack Engine presets.

Daily ingest · 06:00 UTC

Analytics & Benchmarks

  • AI Model Leaderboard
  • Head-to-Head Compare Hub
  • Models Directory
  • Stack Engine Presets
  • Frontier Models
  • Open Weights Catalog

Guides & Intent Lists

  • Best LLM Lists (2026)
  • Best Coding LLM
  • Best Cheap LLM
  • Fastest Low-Latency LLM
  • Claude vs GPT Benchmark
  • What is Elo?
  • Methodology Guides
  • News & Dispatches

Transparency & API

  • Evaluation Methodology
  • Benchmark Changelog
  • Public JSON API
  • llms.txt Specification
  • Privacy Policy
  • Sign In / Account

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

Every score has a dated snapshot.

Theme:
Currency:
  1. Home
  2. Comparisons
  3. Codestral 25.01 vs OpenAI o1

Pairwise benchmark snapshot · Aug 1, 2026

Codestral 25.01 vs OpenAI o1 benchmark

In this head-to-head showdown, OpenAI o1 delivers higher overall intelligence and human-preferred responses (Elo 1,512 vs 1,320), while Codestral 25.01 leads in SWE-bench software engineering benchmarks (51.8%), while 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 OpenAI o1 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.
Share Analysis:
WhatsAppTelegramXLinkedInReddit

Verified Head-to-Head Advantage Breakdown

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

Codestral 25.01 (6)OpenAI o1 (4)
Codestral 25.01
6 of 10 Wins
✓SWE-bench✓Time to first token✓Output speed✓Input price✓Output price✓Context window
OpenAI o1
4 of 10 Wins
✓Preference Elo✓Coding Elo✓LiveBench✓GPQA Diamond
Mistral
Leads 6 of 10 metrics
Codestral 25.01

Mistral code-specialist model.

CodestralElo 1,320$0.9/1M out
OpenAI
Leads 4 of 10 metrics
OpenAI o1

OpenAI pioneer reasoning foundation model designed for complex science, math, and multi-step reasoning.

Elo 1,512$60/1M out

Mistral Series Lineage & Sibling Variants

2 models

Currently comparing Codestral 25.01 vs OpenAI o1. Alternative family tiers available.

Active: Codestral 25.01
Mistral Large 3$6

OpenAI o1 Thinking Depth & Cost Scaler

Model B

Simulate accuracy gains vs added response time & token cost

Mode: Medium (Standard)

Reasoning models “think before answering” by generating internal reasoning tokens. Higher effort improves math, coding, and logic accuracy, but increases response delay and token costs.

Thinking Delay
420 ms
Standard speed
Reasoning Depth
~1,500
Internal tokens
Cost / 1k Calls
$115.50
4.5× standard bill
Accuracy Boost
+4.5% accuracy
STEM & SWE-bench
Top Rival Showdowns for Codestral 25.01
All Matchups
Compare vs:vs Claude Opus 4.5vs GPT-5vs Gemini 3 Provs Grok 4.6vs DeepSeek V4 Pro
Preference LeaderOpenAI o1 Wins

OpenAI o1

Δ 192 Arena Elo pts

Throughput LeaderCodestral 25.01 Wins

Codestral 25.01

148 tok/s

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
Percentile 0–100
Head-to-Head Comparison

Overall Matchup Breakdown

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

Codestral 25.01 (6)vsOpenAI o1 (4)
Codestral 25.01: 6W (60%)Overall: Codestral 25.01OpenAI o1: 4W (40%)
← Codestral 25.01OpenAI o1 →
🏆OpenAI o1(4/5)

Intelligence & Reasoning

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

Benchmark
Codestral 25.01vsOpenAI o1
Preference Elo
1,320vs1,512+192
Coding Elo
1,402vs1,485+83
SWE-bench
51.8%vs48.9%+2.9%
LiveBench
54%vs65.4%+11.4%
GPQA Diamond
58.4%vs78%+19.6%
Codestral 25.01: 1WOpenAI o1: 4W
🏆Codestral 25.01(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Codestral 25.01vsOpenAI o1
Output speed
148 tok/svs45 tok/s+103 tok/s
Time to first token
150 msvs420 ms+270 ms
Codestral 25.01: 2WOpenAI o1: 0W
🏆Codestral 25.01(3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Codestral 25.01vsOpenAI o1
Output price
$0.9/1Mvs$60/1M+$59.1/1M
Input price
$0.3/1Mvs$15/1M+$14.7/1M
Context window
256kvs200k+56k
Codestral 25.01: 3WOpenAI o1: 0W

Side-by-Side Benchmark Matrix

Preference Elo+192
Codestral 25.011,320
seed-bootstrap · Aug 1, 2026
OpenAI o11,512
seed-bootstrap · Aug 1, 2026
Coding Elo+83
Codestral 25.011,402
seed-bootstrap · Aug 1, 2026
OpenAI o11,485
seed-bootstrap · Aug 1, 2026
LiveBench+11.4%
Codestral 25.0154%
seed-bootstrap · Aug 1, 2026
OpenAI o165.4%
seed-bootstrap · Aug 1, 2026
SWE-bench+2.9%
Codestral 25.0151.8%
seed-bootstrap · Aug 1, 2026
OpenAI o148.9%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+19.6%
Codestral 25.0158.4%
seed-bootstrap · Aug 1, 2026
OpenAI o178%
seed-bootstrap · Aug 1, 2026
Time to first token+270 ms
Codestral 25.01150 ms
seed-bootstrap · Aug 1, 2026
OpenAI o1420 ms
seed-bootstrap · Aug 1, 2026
Output speed+103 tok/s
Codestral 25.01148 tok/s
seed-bootstrap · Aug 1, 2026
OpenAI o145 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$14.7/1M
Codestral 25.01$0.3/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1$15/1M
seed-bootstrap · Aug 1, 2026
Output price+$59.1/1M
Codestral 25.01$0.9/1M
seed-bootstrap · Aug 1, 2026
OpenAI o1$60/1M
seed-bootstrap · Aug 1, 2026
Context window+56k
Codestral 25.01256k
seed-bootstrap · Aug 1, 2026
OpenAI o1200k
seed-bootstrap · Aug 1, 2026
BenchmarkCodestral 25.01OpenAI o1Advantage Delta
Preference Elo
1,320
seed-bootstrap · Aug 1, 2026
1,512
seed-bootstrap · Aug 1, 2026
+192
Coding Elo
1,402
seed-bootstrap · Aug 1, 2026
1,485
seed-bootstrap · Aug 1, 2026
+83
LiveBench
54%
seed-bootstrap · Aug 1, 2026
65.4%
seed-bootstrap · Aug 1, 2026
+11.4%
SWE-bench
51.8%
seed-bootstrap · Aug 1, 2026
48.9%
seed-bootstrap · Aug 1, 2026
+2.9%
GPQA Diamond
58.4%
seed-bootstrap · Aug 1, 2026
78%
seed-bootstrap · Aug 1, 2026
+19.6%
Time to first token
150 ms
seed-bootstrap · Aug 1, 2026
420 ms
seed-bootstrap · Aug 1, 2026
+270 ms
Output speed
148 tok/s
seed-bootstrap · Aug 1, 2026
45 tok/s
seed-bootstrap · Aug 1, 2026
+103 tok/s
Input price
$0.3/1M
seed-bootstrap · Aug 1, 2026
$15/1M
seed-bootstrap · Aug 1, 2026
+$14.7/1M
Output price
$0.9/1M
seed-bootstrap · Aug 1, 2026
$60/1M
seed-bootstrap · Aug 1, 2026
+$59.1/1M
Context window
256k
seed-bootstrap · Aug 1, 2026
200k
seed-bootstrap · Aug 1, 2026
+56k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 98% 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)
Codestral 25.01$24.00 / mo
In: $10.5Out: $13.5
OpenAI o1$1,425.00 / mo
In: $525Out: $900
Estimated Cost Delta

Codestral 25.01 is estimated to save $1,401.00/month ($16,812/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    Codestral 25.01:Pick Codestral 25.01 when repo-level coding accuracy is the constraint.
  • 2
    Codestral 25.01:Pick Codestral 25.01 when time-to-first-token matters more than peak Elo.
  • 3
    OpenAI o1:Pick OpenAI o1 as the default general assistant.

Recommended Workload Routing

Repo / coding agentsCodestral 25.01

Higher SWE-bench (51.8%).

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 / visionOpenAI o1

OpenAI o1 is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsCodestral 25.01Higher SWE-bench (51.8%).
High-volume chatCodestral 25.01Lower output list price ($0.9/1M).
Voice / low-latency UICodestral 25.01Lower TTFT (150 ms).
Long-document RAGCodestral 25.01Larger window (256k).
Screenshots / visionOpenAI o1OpenAI o1 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

Cast Your Matchup Vote

0 total votes

Community Discussions (0)

Sign in to cast your verified vote, bookmark models, and participate in benchmark discussions.Sign In to Post

No comments posted on this matchup yet. Be the first to share an evaluation note!

Social Share Card Preview

Dynamic OpenGraph banner generated at /compare/codestral-25-vs-o1/opengraph-image

Save PNG

CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK
VS
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
OpenAI

OpenAI o1

Elo 1,512
SWE-bench48.9%
Speed (tok/s)45 tok/s
Input / 1M Tokens$15/1M
Output / 1M Tokens$60/1M

Frequently Asked Questions

Which is better overall, Codestral 25.01 or OpenAI o1?
OpenAI o1 has the higher preference Elo in our latest snapshot (1,512). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Codestral 25.01 or OpenAI o1?
Codestral 25.01 leads SWE-bench at 51.8% vs 48.9%. 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 $60/1M. Input prices and retry rates still move the real bill.
Which is faster, Codestral 25.01 or OpenAI o1?
Codestral 25.01 has the lower time-to-first-token (150 ms vs 420 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. Codestral 25.01 and OpenAI o1 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 Codestral 25.01 matchups →|All OpenAI o1 matchups →
Codestral 25.01 vs Mistral Large 3 (next mistral)OpenAI o1 vs GPT-4o (previous gpt-flagship)OpenAI o1 vs GPT-4.5 Orion (next gpt-flagship)Mistral Large 3 vs OpenAI o1GPT-5 vs OpenAI o1OpenAI o3-mini vs OpenAI o1