Noometry

Model comparison

DeepSeek V4.1 Flash vs Yi-34B

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 27.8 on the Noometry Index.

Last verified . 19 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Yi-34B 01.AI

27.8

Rank #329 Confirmed

Summary

  • They share 19 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Yi-34B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where DeepSeek V4.1 Flash leads 57.9 to 7.5.
  • The biggest single-benchmark swing is GPQA Diamond: 89.8% for DeepSeek V4.1 Flash and 14.7% for Yi-34B.

Side by side

DeepSeek V4.1 FlashYi-34B
ProviderDeepSeek01.AI
Noometry Index52.827.8
Released2026-09-092023-11-02
WeightsOpenOpen
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked3723

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Yi-34B: 32.3 (#274)

BenchmarkDeepSeek V4.1 FlashYi-34B
LMArena Coding15061112
LMArena WebDev1619—
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Yi-34B: —

BenchmarkDeepSeek V4.1 FlashYi-34B
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Yi-34B: 21.2 (#226)

BenchmarkDeepSeek V4.1 FlashYi-34B
LMArena Hard Prompts14831104
Epoch Capabilities Index154.9117.39
NYT Connections (extended)89.6%—
CritPt14.3%—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
BIG-Bench Hard—71.7%

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Yi-34B: 21.6 (#282)

BenchmarkDeepSeek V4.1 FlashYi-34B
LMArena Math14771114
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
MATH Level 5—5.1%
GSM8K—76%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Yi-34B: 7.5 (#309)

BenchmarkDeepSeek V4.1 FlashYi-34B
GPQA Diamond89.8%14.7%
LMArena Expert15061061
MMLU—76.3%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Yi-34B: —

BenchmarkDeepSeek V4.1 FlashYi-34B
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Yi-34B: 29.7 (#264)

BenchmarkDeepSeek V4.1 FlashYi-34B
LMArena Non-English14481079
LMArena Chinese14971176
LMArena French14521081
LMArena German14841042
LMArena Japanese1412993
LMArena Korean1452959
LMArena Russian14711050
LMArena Spanish14591070

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Yi-34B: 56.2 (#274)

BenchmarkDeepSeek V4.1 FlashYi-34B
LMArena Instruction Following14741091

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Yi-34B: 33.2 (#264)

BenchmarkDeepSeek V4.1 FlashYi-34B
LMArena Longer Query14751094

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Yi-34B: 34.1 (#273)

BenchmarkDeepSeek V4.1 FlashYi-34B
LMArena Text14621129
LMArena Creative Writing14351108
LMArena Multi-Turn14571113
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Yi-34B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 27.8 on the Noometry Index.

Is DeepSeek V4.1 Flash or Yi-34B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 32.3 in the Noometry coding category.

How many benchmarks do DeepSeek V4.1 Flash and Yi-34B share?

19 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Yi-34B has 23.

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