Model comparison

GPT-5.3 Chat vs Mistral Nemo

GPT-5.3 Chat is the stronger model overall, scoring 42.1 to 25.9 on the Noometry Index. Mistral Nemo costs 32× less per token, which makes it the better buy when GPT-5.3 Chat's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

GPT-5.3 Chat OpenAI

42.1

Rank #109 Confirmed

Mistral Nemo

Mistral AI

25.9

Rank #332 Confirmed

Summary

They share 1 benchmark with published results for both. GPT-5.3 Chat scores higher in 4 categories and Mistral Nemo in 0 categories; 4 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where GPT-5.3 Chat leads 63.3 to 28.6.
Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $1.75 / $14 for GPT-5.3 Chat.
Mistral Nemo has downloadable open weights; the other is API-only.

Side by side

GPT-5.3 Chat and Mistral Nemo specifications
	GPT-5.3 Chat	Mistral Nemo
Provider	OpenAI	Mistral AI
Noometry Index	42.1	25.9
Released	2026-03-03	2024-07-01
Weights	Proprietary	Open
Context window	128K	128K
Max output	16K	128K
Input $ / M tokens	$1.75	$0.15
Output $ / M tokens	$14	$0.15
Results tracked	18	10

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Category by category

Coding Not comparable

GPT-5.3 Chat: 40.8 (#124), Mistral Nemo: —

Coding benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
LMArena Coding	1408	—

Agentic & Tool Use Not comparable

GPT-5.3 Chat: —, Mistral Nemo: 23.3 (#118)

Agentic & Tool Use benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
Berkeley Function Calling Leaderboard	—	27.6%
BALROG	—	17.6%

Reasoning GPT-5.3 Chat leads

GPT-5.3 Chat: 27.3 (#105), Mistral Nemo: 19.9 (#230)

Reasoning benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
LMArena Hard Prompts	1399	—
DTBench	—	48.6%
Epoch Capabilities Index	—	118.63
PIQA	—	83.5%

Math GPT-5.3 Chat leads

GPT-5.3 Chat: 35.4 (#146), Mistral Nemo: 23.5 (#263)

Math benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
LMArena Math	1389	—
MATH Level 5	—	10.8%
GSM8K	—	84.2%

Knowledge GPT-5.3 Chat leads

GPT-5.3 Chat: 38.2 (#137), Mistral Nemo: 12.3 (#293)

Knowledge benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
GPQA Diamond	—	29.9%
LMArena Expert	1397	—
BoolQ	—	82.5%

Multilingual Not comparable

GPT-5.3 Chat: 50.5 (#119), Mistral Nemo: —

Multilingual benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
LMArena Non-English	1383	—
LMArena Chinese	1433	—
LMArena French	1398	—
LMArena German	1384	—
LMArena Japanese	1351	—
LMArena Korean	1347	—
LMArena Russian	1400	—
LMArena Spanish	1371	—

Instruction Following Not comparable

GPT-5.3 Chat: 73.0 (#124), Mistral Nemo: —

Instruction Following benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
LMArena Instruction Following	1378	—

Long Context Not comparable

GPT-5.3 Chat: 42.6 (#115), Mistral Nemo: —

Long Context benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
LMArena Longer Query	1396	—

Writing & Preference GPT-5.3 Chat leads

GPT-5.3 Chat: 63.3 (#65), Mistral Nemo: 28.6 (#291)

Writing & Preference benchmarks
Benchmark	GPT-5.3 Chat	Mistral Nemo
EQ-Bench Creative Writing	1690	881
LMArena Text	1389	—
LMArena Creative Writing	1356	—
LMArena Multi-Turn	1413	—

Frequently asked questions

Is GPT-5.3 Chat better than Mistral Nemo?

Which is cheaper, GPT-5.3 Chat or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GPT-5.3 Chat lists at $1.75 and $14.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do GPT-5.3 Chat and Mistral Nemo share?

1 benchmark has published results for both models. GPT-5.3 Chat has 18 scored results on Noometry and Mistral Nemo has 10.