Model comparison

Mercury 2.5 vs Mistral Large 3

Mistral Large 3 is the stronger model overall, scoring 39.1 to 33.5 on the Noometry Index. Mercury 2.5 costs 5.6× less per token, which makes it the better buy when Mistral Large 3's lead doesn't matter for your workload.

Last verified October 10, 2026. 0 shared benchmarks.

Mercury 2.5 Inception

33.5

Rank #242 Reported

Mistral Large 3

Mistral AI

39.1

Rank #176 Confirmed

Summary

The widest gap is in math, where Mistral Large 3 leads 38.7 to 23.3.
Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
Mistral Large 3 accepts more context: 262K tokens versus 260K.
Mistral Large 3 has downloadable open weights; the other is API-only.

Side by side

Mercury 2.5 and Mistral Large 3 specifications
	Mercury 2.5	Mistral Large 3
Provider	Inception	Mistral AI
Noometry Index	33.5	39.1
Released	2026-09-08	2025-12-02
Weights	Proprietary	Open
Context window	260K	262K
Max output	66K	8K
Input $ / M tokens	$0.04	$0.25
Output $ / M tokens	$0.15	$0.75
Results tracked	4	24

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Category by category

Coding Mercury 2.5 leads

Mercury 2.5: 39.5 (#156), Mistral Large 3: 34.4 (#237)

Coding benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
LMArena WebDev	—	1230
SciCode	38.5%	—
LMArena Coding	—	1448
ALE-Bench	301.65	—

Reasoning Mercury 2.5 leads

Mercury 2.5: 22.4 (#193), Mistral Large 3: 15.2 (#319)

Reasoning benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
Kagi LLM Benchmark	—	50.9%
NYT Connections (extended)	—	7.5%
CritPt	0%	—
Thematic Generalization	—	23%
LMArena Hard Prompts	—	1429

Math Mistral Large 3 leads

Mercury 2.5: 23.3 (#272), Mistral Large 3: 38.7 (#129)

Math benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
ProofBench	3%	—
LMArena Math	—	1414

Knowledge Not comparable

Mercury 2.5: —, Mistral Large 3: 36.0 (#177)

Knowledge benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
Vectara Hallucination Rate	—	14.5%
LMArena Expert	—	1421

Multimodal Not comparable

Mercury 2.5: —, Mistral Large 3: 38.2 (#66)

Multimodal benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
LMArena Vision	—	1221

Multilingual Not comparable

Mercury 2.5: —, Mistral Large 3: 52.5 (#84)

Multilingual benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
LMArena Non-English	—	1413
LMArena Chinese	—	1447
LMArena French	—	1455
LMArena German	—	1437
LMArena Japanese	—	1394
LMArena Korean	—	1384
LMArena Russian	—	1411
LMArena Spanish	—	1440

Instruction Following Not comparable

Mercury 2.5: —, Mistral Large 3: 74.0 (#108)

Instruction Following benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
LMArena Instruction Following	—	1403

Long Context Not comparable

Mercury 2.5: —, Mistral Large 3: 43.1 (#105)

Long Context benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
LMArena Longer Query	—	1413

Writing & Preference Not comparable

Mercury 2.5: —, Mistral Large 3: 60.0 (#101)

Writing & Preference benchmarks
Benchmark	Mercury 2.5	Mistral Large 3
LMArena Text	—	1428
LMArena Creative Writing	—	1386
EQ-Bench Creative Writing	—	1412
LMArena Multi-Turn	—	1429

Frequently asked questions

Is Mercury 2.5 better than Mistral Large 3?

Which is cheaper, Mercury 2.5 or Mistral Large 3?

Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

Is Mercury 2.5 or Mistral Large 3 better for coding?

Mercury 2.5 scores higher on coding benchmarks: 39.5 versus 34.4 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 260K.

How many benchmarks do Mercury 2.5 and Mistral Large 3 share?

0 benchmarks have published results for both models. Mercury 2.5 has 4 scored results on Noometry and Mistral Large 3 has 24.