Noometry

Model comparison

DeepSeek V4.1 Flash vs Qwen2.5 7B Instruct

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 28.6 on the Noometry Index.

Last verified . 3 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

50.3

Rank #40 Confirmed

Qwen2.5 7B Instruct Alibaba (Qwen)

28.6

Rank #314 Confirmed

Summary

  • They share 3 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 6 categories and Qwen2.5 7B Instruct in 0 categories; 6 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 48.4 to 11.8.
  • The biggest single-benchmark swing is DTBench: 89.9% for DeepSeek V4.1 Flash and 47.7% for Qwen2.5 7B Instruct.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.17 / $0.70 for Qwen2.5 7B Instruct.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4.1 FlashQwen2.5 7B Instruct
ProviderDeepSeekAlibaba (Qwen)
Noometry Index50.328.6
Released2026-09-092024-09
WeightsOpenOpen
Context window1M131K
Max output393K8K
Input $ / M tokens$0.15$0.17
Output $ / M tokens$0.60$0.70
Results tracked2515

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), Qwen2.5 7B Instruct: 35.9 (#204)

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
LMArena WebDev1620—
SciCode51.9%—
BigCodeBench Instruct—37.6%
LMArena Coding1511—
BigCodeBench Complete—46.1%
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, Qwen2.5 7B Instruct: 23.5 (#117)

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
BALROG—7.8%

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), Qwen2.5 7B Instruct: 14.3 (#317)

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
DTBench89.9%47.7%
LMCA47%6.4%
Epoch Capabilities Index155.01118.44
NYT Connections (extended)89.6%—
CritPt14.3%—
Chess Puzzles—0%
LMArena Hard Prompts1485—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), Qwen2.5 7B Instruct: 11.8 (#300)

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
OTIS Mock AIME 2024-2025—2.5%
ProofBench54%—
Omni-MATH—29.4%
LMArena Math1493—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), Qwen2.5 7B Instruct: 17.0 (#281)

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
GPQA Diamond—35.5%
MMLU-Pro—53.9%
GPQA (HELM)—34.1%
LMArena Expert1505—
MMLU—72.9%

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.5 (#29), Qwen2.5 7B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
LMArena Non-English1452—
LMArena Chinese1506—
LMArena French1448—
LMArena Russian1473—
LMArena Spanish1499—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), Qwen2.5 7B Instruct: 63.4 (#226)

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
IFEval—74.1%
LMArena Instruction Following1475—

Long Context Not comparable

DeepSeek V4.1 Flash: 45.2 (#46), Qwen2.5 7B Instruct: —

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
LMArena Longer Query1476—

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), Qwen2.5 7B Instruct: 48.8 (#194)

BenchmarkDeepSeek V4.1 FlashQwen2.5 7B Instruct
LMArena Text1465—
LMArena Creative Writing1436—
EQ-Bench Creative Writing1540—
WildBench—73.1%
LMArena Multi-Turn1460—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Qwen2.5 7B Instruct?

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 28.6 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or Qwen2.5 7B Instruct?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Qwen2.5 7B Instruct lists at $0.17 and $0.70.

Is DeepSeek V4.1 Flash or Qwen2.5 7B Instruct better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 131K.

How many benchmarks do DeepSeek V4.1 Flash and Qwen2.5 7B Instruct share?

3 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Qwen2.5 7B Instruct has 15.

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