Model comparison

DeepSeek V4 Flash vs Mistral Small 3.1

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 31.7 on the Noometry Index.

Last verified October 10, 2026. 22 shared benchmarks.

DeepSeek V4 Flash

DeepSeek

53.6

Rank #35 Confirmed

Mistral Small 3.1

Mistral AI

31.7

Rank #269 Confirmed

Summary

They share 22 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 8 categories and Mistral Small 3.1 in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in math, where DeepSeek V4 Flash leads 60.3 to 14.7.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 94.4% for DeepSeek V4 Flash and 3.9% for Mistral Small 3.1.
DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.35 / $0.56 for Mistral Small 3.1.
DeepSeek V4 Flash accepts more context: 1M tokens versus 128K.

Side by side

DeepSeek V4 Flash and Mistral Small 3.1 specifications
	DeepSeek V4 Flash	Mistral Small 3.1
Provider	DeepSeek	Mistral AI
Noometry Index	53.6	31.7
Released	2026-04-24	2025-03-17
Weights	Open	Open
Context window	1M	128K
Max output	393K	102K
Input $ / M tokens	$0.15	$0.35
Output $ / M tokens	$0.60	$0.56
Results tracked	41	28

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), Mistral Small 3.1: 38.3 (#179)

Coding benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
LMArena Coding	1457	1309
FrontierCode	18.8%	—
LMArena WebDev	1582	—
SciCode	49.9%	—
WeirdML	63%	—
ALE-Bench	1,306	—

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Mistral Small 3.1: 19.7 (#254)

Reasoning benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
Chess Puzzles	33%	1%
LMArena Hard Prompts	1444	1278
Epoch Capabilities Index	154.49	127.48
ARC-AGI-2	61.4%	—
SimpleBench	61.1%	—
Kagi LLM Benchmark	52.2%	—
NYT Connections (extended)	89.6%	—
ARC-AGI-1	89%	—
CritPt	16.6%	—
Mystery Game Puzzles	34%	—
DTBench	90.9%	—
LMCA	41.7%	—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Mistral Small 3.1: 14.7 (#301)

Math benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
OTIS Mock AIME 2024-2025	94.4%	3.9%
LMArena Math	1427	1262
FrontierMath (Tiers 1-3)	57.5%	—
FrontierMath Tier 4	24.4%	—
MathArena Final-Answer Competitions	76.5%	—
ProofBench	56%	—
Omni-MATH	—	24.8%

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Mistral Small 3.1: 22.6 (#271)

Knowledge benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
GPQA Diamond	91%	41.9%
LMArena Expert	1441	1257
SimpleQA Verified	33.6%	—
MMLU-Pro	—	61%
GPQA (HELM)	—	39.2%

Multimodal Not comparable

DeepSeek V4 Flash: —, Mistral Small 3.1: 33.2 (#99)

Multimodal benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
LMArena Vision	—	1136

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), Mistral Small 3.1: 41.2 (#209)

Multilingual benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
LMArena Non-English	1420	1255
LMArena Chinese	1468	1253
LMArena French	1439	1273
LMArena German	1418	1266
LMArena Japanese	1406	1208
LMArena Korean	1384	1206
LMArena Russian	1428	1263
LMArena Spanish	1436	1283

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Mistral Small 3.1: 63.6 (#230)

Instruction Following benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
LMArena Instruction Following	1421	1264
IFEval	—	75%

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), Mistral Small 3.1: 39.5 (#178)

Long Context benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
LMArena Longer Query	1434	1299

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Mistral Small 3.1: 37.0 (#259)

Writing & Preference benchmarks
Benchmark	DeepSeek V4 Flash	Mistral Small 3.1
LMArena Text	1432	1277
LMArena Creative Writing	1403	1253
EQ-Bench Creative Writing	1559	761
LMArena Multi-Turn	1449	1270
WildBench	—	78.8%

Frequently asked questions

Is DeepSeek V4 Flash better than Mistral Small 3.1?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 31.7 on the Noometry Index.

Which is cheaper, DeepSeek V4 Flash or Mistral Small 3.1?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Mistral Small 3.1 lists at $0.35 and $0.56.

Is DeepSeek V4 Flash or Mistral Small 3.1 better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 38.3 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4 Flash does, with 1M tokens against 128K.

How many benchmarks do DeepSeek V4 Flash and Mistral Small 3.1 share?

22 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Mistral Small 3.1 has 28.