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Every score has a dated snapshot.

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  3. Codestral 25.01 vs GPT-4o mini

Pairwise benchmark snapshot · Aug 1, 2026

Codestral 25.01 vs GPT-4o mini benchmark

In this head-to-head showdown, Codestral 25.01 delivers higher overall intelligence and human-preferred responses (Elo 1,320 vs 1,272), while Codestral 25.01 leads in SWE-bench software engineering benchmarks (51.8%), while GPT-4o mini is more budget-friendly at $0.6/1M 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 Codestral 25.01 if your priority is peak reasoning, complex code generation, and top preference Elo. Choose GPT-4o mini if you are optimizing for low latency, high throughput, and cost-efficient API deployment.
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Verified Head-to-Head Advantage Breakdown

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

Codestral 25.01 (4)GPT-4o mini (5)
Codestral 25.01
4 of 9 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓Context window
GPT-4o mini
5 of 9 Wins
✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Output price
Mistral
Leads 4 of 9 metrics
Codestral 25.01

Mistral code-specialist model.

CodestralElo 1,320$0.9/1M out
OpenAI
Leads 5 of 9 metrics
GPT-4o mini

Legacy small OpenAI model. Useful as a cheap baseline.

4o MiniElo 1,272$0.6/1M out

Mistral Series Lineage & Sibling Variants

2 models

Currently comparing Codestral 25.01 vs GPT-4o mini. Alternative family tiers available.

Active: Codestral 25.01
Mistral Large 3$6
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 LeaderCodestral 25.01 Wins

Codestral 25.01

Δ 48 Arena Elo pts

Throughput LeaderGPT-4o mini Wins

GPT-4o mini

160 tok/s

Value per Dollar LeaderGPT-4o mini Wins

GPT-4o mini

$0.6 / 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 (5)vsGPT-4o mini (5)
Codestral 25.01: 5W (50%)Overall: Even matchupGPT-4o mini: 5W (50%)
← Codestral 25.01GPT-4o mini →
🏆Codestral 25.01(4/5)

Intelligence & Reasoning

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

Benchmark
Codestral 25.01vsGPT-4o mini
Preference Elo
1,320vs1,272+48
Coding Elo
1,402vs—
SWE-bench
51.8%vs41.2%+10.6%
LiveBench
54%vs48.1%+5.9%
GPQA Diamond
58.4%vs60.1%+1.7%
Codestral 25.01: 4WGPT-4o mini: 1W
🏆GPT-4o mini(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Codestral 25.01vsGPT-4o mini
Output speed
148 tok/svs160 tok/s+12 tok/s
Time to first token
150 msvs130 ms+20 ms
Codestral 25.01: 0WGPT-4o mini: 2W
🏆GPT-4o mini(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Codestral 25.01vsGPT-4o mini
Output price
$0.9/1Mvs$0.6/1M+$0.3/1M
Input price
$0.3/1Mvs$0.15/1M+$0.15/1M
Context window
256kvs128k+128k
Codestral 25.01: 1WGPT-4o mini: 2W

Side-by-Side Benchmark Matrix

Preference Elo+48
Codestral 25.011,320
seed-bootstrap · Aug 1, 2026
GPT-4o mini1,272
seed-bootstrap · Aug 1, 2026
Coding Elo
Codestral 25.011,402
seed-bootstrap · Aug 1, 2026
GPT-4o mini—
LiveBench+5.9%
Codestral 25.0154%
seed-bootstrap · Aug 1, 2026
GPT-4o mini48.1%
seed-bootstrap · Aug 1, 2026
SWE-bench+10.6%
Codestral 25.0151.8%
seed-bootstrap · Aug 1, 2026
GPT-4o mini41.2%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+1.7%
Codestral 25.0158.4%
seed-bootstrap · Aug 1, 2026
GPT-4o mini60.1%
seed-bootstrap · Aug 1, 2026
Time to first token+20 ms
Codestral 25.01150 ms
seed-bootstrap · Aug 1, 2026
GPT-4o mini130 ms
seed-bootstrap · Aug 1, 2026
Output speed+12 tok/s
Codestral 25.01148 tok/s
seed-bootstrap · Aug 1, 2026
GPT-4o mini160 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.15/1M
Codestral 25.01$0.3/1M
seed-bootstrap · Aug 1, 2026
GPT-4o mini$0.15/1M
seed-bootstrap · Aug 1, 2026
Output price+$0.3/1M
Codestral 25.01$0.9/1M
seed-bootstrap · Aug 1, 2026
GPT-4o mini$0.6/1M
seed-bootstrap · Aug 1, 2026
Context window+128k
Codestral 25.01256k
seed-bootstrap · Aug 1, 2026
GPT-4o mini128k
seed-bootstrap · Aug 1, 2026
BenchmarkCodestral 25.01GPT-4o miniAdvantage Delta
Preference Elo
1,320
seed-bootstrap · Aug 1, 2026
1,272
seed-bootstrap · Aug 1, 2026
+48
Coding Elo
1,402
seed-bootstrap · Aug 1, 2026
——
LiveBench
54%
seed-bootstrap · Aug 1, 2026
48.1%
seed-bootstrap · Aug 1, 2026
+5.9%
SWE-bench
51.8%
seed-bootstrap · Aug 1, 2026
41.2%
seed-bootstrap · Aug 1, 2026
+10.6%
GPQA Diamond
58.4%
seed-bootstrap · Aug 1, 2026
60.1%
seed-bootstrap · Aug 1, 2026
+1.7%
Time to first token
150 ms
seed-bootstrap · Aug 1, 2026
130 ms
seed-bootstrap · Aug 1, 2026
+20 ms
Output speed
148 tok/s
seed-bootstrap · Aug 1, 2026
160 tok/s
seed-bootstrap · Aug 1, 2026
+12 tok/s
Input price
$0.3/1M
seed-bootstrap · Aug 1, 2026
$0.15/1M
seed-bootstrap · Aug 1, 2026
+$0.15/1M
Output price
$0.9/1M
seed-bootstrap · Aug 1, 2026
$0.6/1M
seed-bootstrap · Aug 1, 2026
+$0.3/1M
Context window
256k
seed-bootstrap · Aug 1, 2026
128k
seed-bootstrap · Aug 1, 2026
+128k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 41% with GPT-4o mini
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
GPT-4o mini$14.25 / mo
In: $5.25Out: $9
Estimated Cost Delta

GPT-4o mini is estimated to save $9.75/month ($117/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
    GPT-4o mini:Pick GPT-4o mini when you are optimizing output cost.
  • 3
    GPT-4o mini:Pick GPT-4o mini when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsCodestral 25.01

Higher SWE-bench (51.8%).

High-volume chatGPT-4o mini

Lower output list price ($0.6/1M).

Voice / low-latency UIGPT-4o mini

Lower TTFT (130 ms).

Long-document RAGCodestral 25.01

Larger window (256k).

Screenshots / visionGPT-4o mini

GPT-4o mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsCodestral 25.01Higher SWE-bench (51.8%).
High-volume chatGPT-4o miniLower output list price ($0.6/1M).
Voice / low-latency UIGPT-4o miniLower TTFT (130 ms).
Long-document RAGCodestral 25.01Larger window (256k).
Screenshots / visionGPT-4o miniGPT-4o mini 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
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

GPT-4o mini

Elo 1,272
SWE-bench41.2%
Speed (tok/s)160 tok/s
Input / 1M Tokens$0.15/1M
Output / 1M Tokens$0.6/1M

Frequently Asked Questions

Which is better overall, Codestral 25.01 or GPT-4o mini?
Codestral 25.01 has the higher preference Elo in our latest snapshot (1,320). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Codestral 25.01 or GPT-4o mini?
Codestral 25.01 leads SWE-bench at 51.8% vs 41.2%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?
GPT-4o mini output tokens are $0.6/1M versus $0.9/1M. Input prices and retry rates still move the real bill.
Which is faster, Codestral 25.01 or GPT-4o mini?
GPT-4o mini has the lower time-to-first-token (130 ms vs 150 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 128k.
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 GPT-4o mini 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 GPT-4o mini matchups →
Codestral 25.01 vs Mistral Large 3 (next mistral)GPT-4o mini vs OpenAI o1-mini (next gpt-mini)GPT-5 vs Codestral 25.01OpenAI o3-mini vs Codestral 25.01GPT-4.5 Orion vs Codestral 25.01GPT-5.6 Sol vs Codestral 25.01