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 GPT-5 mini

Pairwise benchmark snapshot · Aug 1, 2026

Codestral 25.01 vs GPT-5 mini benchmark

In this head-to-head showdown, GPT-5 mini delivers higher overall intelligence and human-preferred responses (Elo 1,410 vs 1,320), while GPT-5 mini leads in SWE-bench software engineering benchmarks (52.4%), while Codestral 25.01 is more budget-friendly at $0.9/1M per 1M output tokens, while GPT-5 mini provides faster response streaming (155 tok/s). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Executive Comparison Verdict

Bottom Line: Choose GPT-5 mini 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 (2)GPT-5 mini (8)
Codestral 25.01
2 of 10 Wins
✓Coding Elo✓Output price
GPT-5 mini
8 of 10 Wins
✓Preference Elo✓LiveBench✓SWE-bench✓GPQA Diamond✓Time to first token✓Output speed✓Input price✓Context window
Mistral
Leads 2 of 10 metrics
Codestral 25.01

Mistral code-specialist model.

CodestralElo 1,320$0.9/1M out
OpenAI
Leads 8 of 10 metrics
GPT-5 mini

Cost-efficient GPT-5 distill for high-volume agents.

Mini DistillElo 1,410$2/1M out

Mistral Series Lineage & Sibling Variants

2 models

Currently comparing Codestral 25.01 vs GPT-5 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 LeaderGPT-5 mini Wins

GPT-5 mini

Δ 90 Arena Elo pts

Throughput LeaderGPT-5 mini Wins

GPT-5 mini

155 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 (2)vsGPT-5 mini (8)
Codestral 25.01: 2W (20%)Overall: GPT-5 miniGPT-5 mini: 8W (80%)
← Codestral 25.01GPT-5 mini →
🏆GPT-5 mini(4/5)

Intelligence & Reasoning

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

Benchmark
Codestral 25.01vsGPT-5 mini
Preference Elo
1,320vs1,410+90
Coding Elo
1,402vs1,395+7
SWE-bench
51.8%vs52.4%+0.6%
LiveBench
54%vs61.2%+7.2%
GPQA Diamond
58.4%vs72%+13.6%
Codestral 25.01: 1WGPT-5 mini: 4W
🏆GPT-5 mini(2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Benchmark
Codestral 25.01vsGPT-5 mini
Output speed
148 tok/svs155 tok/s+7 tok/s
Time to first token
150 msvs140 ms+10 ms
Codestral 25.01: 0WGPT-5 mini: 2W
🏆GPT-5 mini(2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Benchmark
Codestral 25.01vsGPT-5 mini
Output price
$0.9/1Mvs$2/1M+$1.1/1M
Input price
$0.3/1Mvs$0.25/1M+$0.05/1M
Context window
256kvs400k+144k
Codestral 25.01: 1WGPT-5 mini: 2W

Side-by-Side Benchmark Matrix

Preference Elo+90
Codestral 25.011,320
seed-bootstrap · Aug 1, 2026
GPT-5 mini1,410
seed-bootstrap · Aug 1, 2026
Coding Elo+7
Codestral 25.011,402
seed-bootstrap · Aug 1, 2026
GPT-5 mini1,395
seed-bootstrap · Aug 1, 2026
LiveBench+7.2%
Codestral 25.0154%
seed-bootstrap · Aug 1, 2026
GPT-5 mini61.2%
seed-bootstrap · Aug 1, 2026
SWE-bench+0.6%
Codestral 25.0151.8%
seed-bootstrap · Aug 1, 2026
GPT-5 mini52.4%
seed-bootstrap · Aug 1, 2026
GPQA Diamond+13.6%
Codestral 25.0158.4%
seed-bootstrap · Aug 1, 2026
GPT-5 mini72%
seed-bootstrap · Aug 1, 2026
Time to first token+10 ms
Codestral 25.01150 ms
seed-bootstrap · Aug 1, 2026
GPT-5 mini140 ms
seed-bootstrap · Aug 1, 2026
Output speed+7 tok/s
Codestral 25.01148 tok/s
seed-bootstrap · Aug 1, 2026
GPT-5 mini155 tok/s
seed-bootstrap · Aug 1, 2026
Input price+$0.05/1M
Codestral 25.01$0.3/1M
seed-bootstrap · Aug 1, 2026
GPT-5 mini$0.25/1M
seed-bootstrap · Aug 1, 2026
Output price+$1.1/1M
Codestral 25.01$0.9/1M
seed-bootstrap · Aug 1, 2026
GPT-5 mini$2/1M
seed-bootstrap · Aug 1, 2026
Context window+144k
Codestral 25.01256k
seed-bootstrap · Aug 1, 2026
GPT-5 mini400k
seed-bootstrap · Aug 1, 2026
BenchmarkCodestral 25.01GPT-5 miniAdvantage Delta
Preference Elo
1,320
seed-bootstrap · Aug 1, 2026
1,410
seed-bootstrap · Aug 1, 2026
+90
Coding Elo
1,402
seed-bootstrap · Aug 1, 2026
1,395
seed-bootstrap · Aug 1, 2026
+7
LiveBench
54%
seed-bootstrap · Aug 1, 2026
61.2%
seed-bootstrap · Aug 1, 2026
+7.2%
SWE-bench
51.8%
seed-bootstrap · Aug 1, 2026
52.4%
seed-bootstrap · Aug 1, 2026
+0.6%
GPQA Diamond
58.4%
seed-bootstrap · Aug 1, 2026
72%
seed-bootstrap · Aug 1, 2026
+13.6%
Time to first token
150 ms
seed-bootstrap · Aug 1, 2026
140 ms
seed-bootstrap · Aug 1, 2026
+10 ms
Output speed
148 tok/s
seed-bootstrap · Aug 1, 2026
155 tok/s
seed-bootstrap · Aug 1, 2026
+7 tok/s
Input price
$0.3/1M
seed-bootstrap · Aug 1, 2026
$0.25/1M
seed-bootstrap · Aug 1, 2026
+$0.05/1M
Output price
$0.9/1M
seed-bootstrap · Aug 1, 2026
$2/1M
seed-bootstrap · Aug 1, 2026
+$1.1/1M
Context window
256k
seed-bootstrap · Aug 1, 2026
400k
seed-bootstrap · Aug 1, 2026
+144k
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 38% 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
GPT-5 mini$38.75 / mo
In: $8.75Out: $30
Estimated Cost Delta

Codestral 25.01 is estimated to save $14.75/month ($177/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

  • 1
    GPT-5 mini:Pick GPT-5 mini when repo-level coding accuracy is the constraint.
  • 2
    Codestral 25.01:Pick Codestral 25.01 when you are optimizing output cost.
  • 3
    GPT-5 mini:Pick GPT-5 mini when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsGPT-5 mini

Higher SWE-bench (52.4%).

High-volume chatCodestral 25.01

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

Voice / low-latency UIGPT-5 mini

Lower TTFT (140 ms).

Long-document RAGGPT-5 mini

Larger window (400k).

Screenshots / visionGPT-5 mini

GPT-5 mini is the side marked multimodal in the catalog.

Target WorkloadRecommended PickEvaluation Rationale
Repo / coding agentsGPT-5 miniHigher SWE-bench (52.4%).
High-volume chatCodestral 25.01Lower output list price ($0.9/1M).
Voice / low-latency UIGPT-5 miniLower TTFT (140 ms).
Long-document RAGGPT-5 miniLarger window (400k).
Screenshots / visionGPT-5 miniGPT-5 mini is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news
launchAug 8, 2025

GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

High-volume agents that cannot pay Sol. Compare to Luna before you assume the new cheap SKU wins.

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-gpt-5-mini/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

GPT-5 mini

Elo 1,410
SWE-bench52.4%
Speed (tok/s)155 tok/s
Input / 1M Tokens$0.25/1M
Output / 1M Tokens$2/1M

Frequently Asked Questions

Which is better overall, Codestral 25.01 or GPT-5 mini?
GPT-5 mini has the higher preference Elo in our latest snapshot (1,410). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Codestral 25.01 or GPT-5 mini?
GPT-5 mini leads SWE-bench at 52.4% 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 $2/1M. Input prices and retry rates still move the real bill.
Which is faster, Codestral 25.01 or GPT-5 mini?
GPT-5 mini has the lower time-to-first-token (140 ms vs 150 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?
GPT-5 mini accepts 400k 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. Codestral 25.01 and GPT-5 mini Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Related news

  • launch · Aug 8, 2025

    GPT-5 mini: the 2025 distill still useful as a cheap OpenAI baseline

  • launch · Jan 14, 2025

    Codestral 25.01: Mistral’s code-specialist row

Similar Head-to-Head Comparisons

All Codestral 25.01 matchups →|All GPT-5 mini matchups →
Codestral 25.01 vs Mistral Large 3 (next mistral)GPT-5 mini vs OpenAI o3-mini (previous gpt-mini)GPT-5 mini vs GPT-5.6 Luna (next gpt-mini)Mistral Large 3 vs GPT-5 miniGPT-5 vs GPT-5 miniGPT-4.5 Orion vs GPT-5 mini