Model comparison

Codestral vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 30.6 on the Noometry Index. Codestral costs 8.9× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Codestral

Mistral AI

30.6

Rank #290 Reported

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 19.8.
Codestral is cheaper at $0.30 / $0.90 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
GPT-6.1 Sol accepts more context: 1.05M tokens versus 256K.

Side by side

Codestral and GPT-6.1 Sol specifications
	Codestral	GPT-6.1 Sol
Provider	Mistral AI	OpenAI
Noometry Index	30.6	65.6
Released	2024-05-29	2026-09-29
Weights	Proprietary	Proprietary
Context window	256K	1.05M
Max output	8K	128K
Input $ / M tokens	$0.30	$2
Output $ / M tokens	$0.90	$10
Results tracked	7	34

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Category by category

Coding GPT-6.1 Sol leads

Codestral: 27.3 (#321), GPT-6.1 Sol: 63.2 (#8)

Coding benchmarks
Benchmark	Codestral	GPT-6.1 Sol
DeepSWE	—	75.2%
FrontierCode	—	50.2%
Aider Polyglot	11.1%	—
LMArena WebDev	—	1755
SciCode	—	55.8%
BigCodeBench Instruct	41.8%	—
LMArena Coding	—	1487
BigCodeBench Complete	52.5%	—
ALE-Bench	137.78	—
HumanEval+	73.8%	—
MBPP+	61.9%	—

Agentic & Tool Use Not comparable

Codestral: —, GPT-6.1 Sol: 39.6 (#26)

Agentic & Tool Use benchmarks
Benchmark	Codestral	GPT-6.1 Sol
APEX-Agents	—	60%
GDP.pdf	—	32%

Reasoning GPT-6.1 Sol leads

Codestral: 19.8 (#251), GPT-6.1 Sol: 81.9 (#2)

Reasoning benchmarks
Benchmark	Codestral	GPT-6.1 Sol
ARC-AGI-2	—	94.2%
Kagi LLM Benchmark	32.5%	—
NYT Connections (extended)	—	95.5%
ARC-AGI-1	—	98.5%
CritPt	—	31.7%
Chess Puzzles	—	61%
EBR-Bench	—	54.3%
LMArena Hard Prompts	—	1466
Mystery Game Puzzles	—	80%
Epoch Capabilities Index	—	166.09

Math Not comparable

Codestral: —, GPT-6.1 Sol: 93.7 (#1)

Math benchmarks
Benchmark	Codestral	GPT-6.1 Sol
FrontierMath (Tiers 1-3)	—	93.7%
FrontierMath Tier 4	—	100%
OTIS Mock AIME 2024-2025	—	100%
ProofBench	—	99%
LMArena Math	—	1464

Knowledge Not comparable

Codestral: —, GPT-6.1 Sol: 71.8 (#4)

Knowledge benchmarks
Benchmark	Codestral	GPT-6.1 Sol
GPQA Diamond	—	95.4%
SimpleQA Verified	—	73.9%
LMArena Expert	—	1502

Multimodal Not comparable

Codestral: —, GPT-6.1 Sol: 52.7 (#5)

Multimodal benchmarks
Benchmark	Codestral	GPT-6.1 Sol
LMArena Vision	—	1288
Furniture Assembly	—	80%

Multilingual Not comparable

Codestral: —, GPT-6.1 Sol: 54.3 (#46)

Multilingual benchmarks
Benchmark	Codestral	GPT-6.1 Sol
LMArena Non-English	—	1438
LMArena Chinese	—	1477
LMArena Russian	—	1455

Instruction Following Not comparable

Codestral: —, GPT-6.1 Sol: 77.0 (#29)

Instruction Following benchmarks
Benchmark	Codestral	GPT-6.1 Sol
LMArena Instruction Following	—	1468

Long Context Not comparable

Codestral: —, GPT-6.1 Sol: 44.9 (#54)

Long Context benchmarks
Benchmark	Codestral	GPT-6.1 Sol
LMArena Longer Query	—	1465

Writing & Preference Not comparable

Codestral: —, GPT-6.1 Sol: 63.6 (#63)

Writing & Preference benchmarks
Benchmark	Codestral	GPT-6.1 Sol
LMArena Text	—	1447
LMArena Creative Writing	—	1432
LMArena Multi-Turn	—	1449

Frequently asked questions

Is Codestral better than GPT-6.1 Sol?

Which is cheaper, Codestral or GPT-6.1 Sol?

Codestral is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is Codestral or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 27.3 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 256K.

How many benchmarks do Codestral and GPT-6.1 Sol share?

0 benchmarks have published results for both models. Codestral has 7 scored results on Noometry and GPT-6.1 Sol has 34.