Model comparison

DeepSeek V4.1 Flash vs Gemma 4 31B IT

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 43.5 on the Noometry Index. Gemma 4 31B IT costs 1.7× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.

Last verified October 11, 2026. 27 shared benchmarks.

DeepSeek V4.1 Flash

DeepSeek

52.8

Rank #38 Confirmed

Gemma 4 31B IT

Google

43.5

Rank #90 Confirmed

Summary

They share 27 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Gemma 4 31B IT in 1 category; 8 gaps are clear of the uncertainty.
The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 43.2.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 73.3% for Gemma 4 31B IT.
Gemma 4 31B IT is cheaper at $0.09 / $0.34 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 Flash and Gemma 4 31B IT specifications
	DeepSeek V4.1 Flash	Gemma 4 31B IT
Provider	DeepSeek	Google
Noometry Index	52.8	43.5
Released	2026-09-09	2026-04-02
Weights	Open	Open
Context window	1M	262K
Max output	393K	33K
Input $ / M tokens	$0.15	$0.09
Output $ / M tokens	$0.60	$0.34
Results tracked	37	35

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Gemma 4 31B IT: 42.3 (#108)

Coding benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
LMArena WebDev	1619	1366
SciCode	51.9%	43.4%
LMArena Coding	1506	1459
ALE-Bench	1,092	925.5
WeirdML	—	52.3%

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Gemma 4 31B IT: —

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
APEX-Agents	39.5%	—
GDP.pdf	19.8%	—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Gemma 4 31B IT: 27.2 (#122)

Reasoning benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
NYT Connections (extended)	89.6%	70.6%
CritPt	14.3%	1.4%
LMArena Hard Prompts	1483	1448
DTBench	89.9%	82.7%
LMCA	47%	39.3%
Surface Evolver Bench	46.3%	30.6%
Epoch Capabilities Index	154.9	142.74
Kagi LLM Benchmark	—	63.5%
Chess Puzzles	—	5%
Thematic Generalization	—	53%
Mystery Game Puzzles	43%	—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Gemma 4 31B IT: 43.2 (#81)

Math benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
OTIS Mock AIME 2024-2025	98.3%	73.3%
LMArena Math	1477	1465
FrontierMath (Tiers 1-3)	67.4%	—
FrontierMath Tier 4	26.8%	—
ProofBench	54%	—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Gemma 4 31B IT: 37.9 (#151)

Knowledge benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
GPQA Diamond	89.8%	75.8%
LMArena Expert	1506	1465
SimpleQA Verified	—	10.4%
Vectara Hallucination Rate	—	7.4%

Multimodal Gemma 4 31B IT leads

DeepSeek V4.1 Flash: 39.1 (#61), Gemma 4 31B IT: 41.6 (#34)

Multimodal benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
LMArena Vision	1277	1277
Furniture Assembly	34.2%	—
LMArena Document	—	1425

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Gemma 4 31B IT: 53.8 (#57)

Multilingual benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
LMArena Non-English	1448	1431
LMArena Chinese	1497	1476
LMArena French	1452	1435
LMArena Russian	1471	1460
LMArena Spanish	1459	1444
LMArena German	1484	—
LMArena Japanese	1412	—
LMArena Korean	1452	—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Gemma 4 31B IT: 75.5 (#61)

Instruction Following benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
LMArena Instruction Following	1474	1433

Long Context Too close to call

DeepSeek V4.1 Flash: 45.2 (#47), Gemma 4 31B IT: 44.2 (#71)

Long Context benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
LMArena Longer Query	1475	1446

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Gemma 4 31B IT: 60.5 (#96)

Writing & Preference benchmarks
Benchmark	DeepSeek V4.1 Flash	Gemma 4 31B IT
LMArena Text	1462	1443
LMArena Creative Writing	1435	1415
EQ-Bench Creative Writing	1540	1368
LMArena Multi-Turn	1457	1452
EQ-Bench 4	—	1120

Frequently asked questions

Is DeepSeek V4.1 Flash better than Gemma 4 31B IT?

Which is cheaper, DeepSeek V4.1 Flash or Gemma 4 31B IT?

Gemma 4 31B IT is cheaper. It lists at $0.09 per million input tokens and $0.34 per million output tokens; DeepSeek V4.1 Flash lists at $0.15 and $0.60.

Is DeepSeek V4.1 Flash or Gemma 4 31B IT better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 42.3 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 262K.

How many benchmarks do DeepSeek V4.1 Flash and Gemma 4 31B IT share?

27 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Gemma 4 31B IT has 35.