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Every score has a dated snapshot.

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  3. Codestral 25.01 vs OpenAI: GPT-5.6 Terra Pro (batch)

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

Codestral 25.01 vs OpenAI: GPT-5.6 Terra Pro (batch) 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: Both Codestral 25.01 and OpenAI: GPT-5.6 Terra Pro (batch) present distinct architectural strengths. Compare the verified benchmark matrix below to choose the model tailored to your specific application requirements.
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Mistral
Codestral 25.01

Mistral code-specialist model.

CodestralElo 1,320$0.9/1M out
OpenAI
OpenAI: GPT-5.6 Terra Pro (batch)

Auto-discovered from OpenRouter (openai/gpt-5.6-terra-pro:batch). Preview until a second source matches.

$6/1M out

Mistral Series Family & Variants (2)

Speed, cost, and intelligence tradeoffs across the Mistral lineup

vs Base Model
Mistral Large 3
Mistral
Base Model
Elo1456
Speed112 t/s
In /1M$2
Out /1M$6
View specs →vs this
Codestral 25.01
Mistral
Codestral
Elo1320
Speed148 t/s
In /1M$0.3
Out /1M$0.9
-136 Elo-85% price1.3x speed
Selected
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 Leader

No shared data

Single model data

Throughput Leader

No shared data

No latency data

Value per Dollar Leader

Codestral 25.01

$0.9 / 1M output

Capability Percentiles

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

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 AdvantageCodestral 25.01 5/6
Head-to-Head Comparison

Overall Matchup Breakdown

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

Codestral 25.01 (9)vsOpenAI: GPT-5.6 Terra Pro (batch) (1)
Codestral 25.01: 9W (90%)Overall: Codestral 25.01OpenAI: GPT-5.6 Terra Pro (batch): 1W (10%)
← Codestral 25.01OpenAI: GPT-5.6 Terra Pro (batch) →
Codestral 25.01 (5/5)

Intelligence & Reasoning

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

Preference Elo
1,320vs—
Coding Elo
1,402vs—
SWE-bench
51.8%vs—
LiveBench
54%vs—
GPQA Diamond
58.4%vs—
Codestral 25.01: 5WOpenAI: GPT-5.6 Terra Pro (batch): 0W
Codestral 25.01 (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed
148 tok/svs—
Time to first token
150 msvs—
Codestral 25.01: 2WOpenAI: GPT-5.6 Terra Pro (batch): 0W
Codestral 25.01 (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price
$0.9/1Mvs$6/1M
Input price
$0.3/1Mvs$1/1M
Context window
256kvs1.1M
Codestral 25.01: 2WOpenAI: GPT-5.6 Terra Pro (batch): 1W

Side-by-Side Benchmark Matrix

Preference Elo
Codestral 25.011,320
lmarena · Aug 17, 2026
OpenAI: GPT-5.6 Terra Pro (batch)—
Coding Elo
Codestral 25.011,402
lmarena · Aug 17, 2026
OpenAI: GPT-5.6 Terra Pro (batch)—
LiveBench
Codestral 25.0154%
livebench · Aug 17, 2026
OpenAI: GPT-5.6 Terra Pro (batch)—
SWE-bench
Codestral 25.0151.8%
swebench · Aug 17, 2026
OpenAI: GPT-5.6 Terra Pro (batch)—
GPQA Diamond
Codestral 25.0158.4%
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Terra Pro (batch)—
Time to first token
Codestral 25.01150 ms
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Terra Pro (batch)—
Output speed
Codestral 25.01148 tok/s
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Terra Pro (batch)—
Input priceCodestral 25.01 (+$0.7/1M)
Codestral 25.01$0.3/1M
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Terra Pro (batch)$1/1M
openrouter · Aug 17, 2026
Output priceCodestral 25.01 (+$5.1/1M)
Codestral 25.01$0.9/1M
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Terra Pro (batch)$6/1M
openrouter · Aug 17, 2026
Context windowOpenAI: GPT-5.6 Terra Pro (batch) (+794k)
Codestral 25.01256k
seed-bootstrap · Aug 1, 2026
OpenAI: GPT-5.6 Terra Pro (batch)1.1M
openrouter · Aug 17, 2026
BenchmarkCodestral 25.01OpenAI: GPT-5.6 Terra Pro (batch)Advantage 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
$0.3/1M
seed-bootstrap · Aug 1, 2026
$1/1M
openrouter · Aug 17, 2026
Codestral 25.01 (+$0.7/1M)
Output price
$0.9/1M
seed-bootstrap · Aug 1, 2026
$6/1M
openrouter · Aug 17, 2026
Codestral 25.01 (+$5.1/1M)
Context window
256k
seed-bootstrap · Aug 1, 2026
1.1M
openrouter · Aug 17, 2026
OpenAI: GPT-5.6 Terra Pro (batch) (+794k)
Interactive Simulator (USD)

Workload Cost & Savings Calculator

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

Save up to 81% 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: GPT-5.6 Terra Pro (batch)$125.00 / mo
In: $35Out: $90
Estimated Cost Delta

Codestral 25.01 is estimated to save $101.00/month ($1,212/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
    OpenAI: GPT-5.6 Terra Pro (batch):Pick OpenAI: GPT-5.6 Terra Pro (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 RAGOpenAI: GPT-5.6 Terra Pro (batch)

Larger window (1.1M).

Screenshots / visionOpenAI: GPT-5.6 Terra Pro (batch)

OpenAI: GPT-5.6 Terra Pro (batch) 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 RAGOpenAI: GPT-5.6 Terra Pro (batch)Larger window (1.1M).
Screenshots / visionOpenAI: GPT-5.6 Terra Pro (batch)OpenAI: GPT-5.6 Terra Pro (batch) 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

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CompareLLM Matrix

Verified head-to-head card

LIVE
VS
Mistral

Codestral 25.01

Elo 1,320
LiveBench54%
SWE-bench51.8%
Speed148 tok/s
Output cost$0.9/1M
OpenAI

OpenAI: GPT-5.6 Terra Pro (batch)

Elo n/a
LiveBench—
SWE-bench—
Speed—
Output cost$6/1M

Frequently Asked Questions

Which is better overall, Codestral 25.01 or OpenAI: GPT-5.6 Terra Pro (batch)?
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, Codestral 25.01 or OpenAI: GPT-5.6 Terra Pro (batch)?
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 $6/1M. Input prices and retry rates still move the real bill.
Which is faster, Codestral 25.01 or OpenAI: GPT-5.6 Terra Pro (batch)?
We do not have TTFT for both models.
Which has the larger context window?
OpenAI: GPT-5.6 Terra Pro (batch) accepts 1.1M 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. Codestral 25.01 and OpenAI: GPT-5.6 Terra Pro (batch) 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: GPT-5.6 Terra Pro (batch) matchups →
Codestral 25.01 vs Mistral Large 3 (next mistral)GPT-5 vs Codestral 25.01GPT-4.5 Orion vs Codestral 25.01GPT-5.6 Sol vs Codestral 25.01GPT-5.6 Terra vs Codestral 25.01GPT-4o vs Codestral 25.01