Model comparison

DeepSeek-V2.5 (Sep 2024) vs Qwen3.6 Flash

Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 37.6 on the Noometry Index.

Last verified . 0 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.6

Rank #200 Confirmed

Qwen3.6 Flash Alibaba (Qwen)

38.8

Rank #182 Confirmed

Summary

  • The widest gap is in knowledge, where Qwen3.6 Flash leads 42.1 to 34.8.
  • DeepSeek-V2.5 (Sep 2024) has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V2.5 (Sep 2024) and Qwen3.6 Flash specifications
DeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
ProviderDeepSeekAlibaba (Qwen)
Noometry Index37.638.8
Released2024-09-062026-04-27
WeightsOpenProprietary
Context window—1M
Max output—66K
Input $ / M tokens—$0.19
Output $ / M tokens—$1.13
Results tracked2213

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Category by category

Coding Not comparable

DeepSeek-V2.5 (Sep 2024): 31.7 (#281), Qwen3.6 Flash: —

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
Aider Polyglot17.8%—
BigCodeBench Instruct48.6%—
LMArena Coding1309—
BigCodeBench Complete53.2%—
ALE-Bench—326.4
HumanEval+83.5%—
MBPP+74.1%—

Reasoning Qwen3.6 Flash leads

DeepSeek-V2.5 (Sep 2024): 25.6 (#145), Qwen3.6 Flash: 29.0 (#96)

Reasoning benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
SimpleBench—35.2%
Chess Puzzles—20%
LMArena Hard Prompts1289—
Mystery Game Puzzles—18%
DTBench—77.1%
LMCA—31%
Epoch Capabilities Index—143.26

Math Qwen3.6 Flash leads

DeepSeek-V2.5 (Sep 2024): 35.9 (#177), Qwen3.6 Flash: 39.0 (#117)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
FrontierMath (Tiers 1-3)—22.5%
OTIS Mock AIME 2024-2025—84.4%
LMArena Math1288—
FrontierMath (Feb 2025 set)—10.3%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.6 Flash leads

DeepSeek-V2.5 (Sep 2024): 34.8 (#193), Qwen3.6 Flash: 42.1 (#100)

Knowledge benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
GPQA Diamond—83.3%
SimpleQA Verified—15.9%
LMArena Expert1266—

Multilingual Not comparable

DeepSeek-V2.5 (Sep 2024): 42.5 (#193), Qwen3.6 Flash: —

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
LMArena Non-English1273—
LMArena Chinese1318—
LMArena French1289—
LMArena German1258—
LMArena Japanese1228—
LMArena Korean1209—
LMArena Russian1289—
LMArena Spanish1248—

Instruction Following Not comparable

DeepSeek-V2.5 (Sep 2024): 67.5 (#194), Qwen3.6 Flash: —

Instruction Following benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
LMArena Instruction Following1280—

Long Context Not comparable

DeepSeek-V2.5 (Sep 2024): 39.5 (#174), Qwen3.6 Flash: —

Long Context benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
LMArena Longer Query1301—

Writing & Preference Not comparable

DeepSeek-V2.5 (Sep 2024): 49.8 (#187), Qwen3.6 Flash: —

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3.6 Flash
LMArena Text1294—
LMArena Creative Writing1285—
LMArena Multi-Turn1297—

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than Qwen3.6 Flash?

Qwen3.6 Flash is the stronger model overall, scoring 38.8 to 37.6 on the Noometry Index.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3.6 Flash share?

0 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3.6 Flash has 13.

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