Noometry

Model comparison

Deepseek Coder v2 vs Qwen3.5-Flash

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 35.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

Deepseek Coder v2 DeepSeek

35.9

Rank #220 Confirmed

Qwen3.5-Flash Alibaba (Qwen)

42.5

Rank #112 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Deepseek Coder v2 scores higher in 1 category and Qwen3.5-Flash in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Qwen3.5-Flash leads 57.9 to 38.2.
  • Deepseek Coder v2 has downloadable open weights; the other is API-only.

Side by side

Deepseek Coder v2Qwen3.5-Flash
ProviderDeepSeekAlibaba (Qwen)
Noometry Index35.942.5
Released2024-06-172026-02-23
WeightsOpenProprietary
Context window—1M
Max output—66K
Input $ / M tokens—$0.10
Output $ / M tokens—$0.40
Results tracked2432

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Deepseek Coder v2 leads

Deepseek Coder v2: 38.1 (#183), Qwen3.5-Flash: 34.2 (#242)

BenchmarkDeepseek Coder v2Qwen3.5-Flash
LMArena Coding12511412
LMArena WebDev—1244
BigCodeBench Instruct48.2%—
BigCodeBench Complete59.7%—
ALE-Bench—221.8
HumanEval+82.3%—
MBPP+75.1%—

Agentic & Tool Use Not comparable

Deepseek Coder v2: —, Qwen3.5-Flash: —

BenchmarkDeepseek Coder v2Qwen3.5-Flash
Vending-Bench 2—462.69

Reasoning Qwen3.5-Flash leads

Deepseek Coder v2: 23.6 (#176), Qwen3.5-Flash: 33.7 (#72)

BenchmarkDeepseek Coder v2Qwen3.5-Flash
LMArena Hard Prompts12071403
Chess Puzzles—21%
Mystery Game Puzzles—20%
DTBench—82.9%
LMCA—29.1%
Epoch Capabilities Index—143.98
WinoGrande83.7%—

Math Qwen3.5-Flash leads

Deepseek Coder v2: 34.9 (#190), Qwen3.5-Flash: 37.4 (#158)

BenchmarkDeepseek Coder v2Qwen3.5-Flash
LMArena Math12411407
FrontierMath (Tiers 1-3)—18.2%
OTIS Mock AIME 2024-2025—84.4%
FrontierMath (Feb 2025 set)—6.2%
FrontierMath Tier 4 (v1)—0%
GSM8K94.5%—

Knowledge Qwen3.5-Flash leads

Deepseek Coder v2: 32.3 (#212), Qwen3.5-Flash: 43.2 (#93)

BenchmarkDeepseek Coder v2Qwen3.5-Flash
LMArena Expert11811407
GPQA Diamond—82.3%
SimpleQA Verified—20.3%
Vectara Hallucination Rate—10.5%
ARC (AI2) Challenge64.3%—

Multilingual Qwen3.5-Flash leads

Deepseek Coder v2: 36.3 (#240), Qwen3.5-Flash: 50.5 (#121)

BenchmarkDeepseek Coder v2Qwen3.5-Flash
LMArena Non-English11821385
LMArena Chinese12011446
LMArena French11851412
LMArena German11641390
LMArena Japanese11261368
LMArena Korean11041344
LMArena Russian11881379
LMArena Spanish11531400

Instruction Following Qwen3.5-Flash leads

Deepseek Coder v2: 61.7 (#242), Qwen3.5-Flash: 72.6 (#139)

BenchmarkDeepseek Coder v2Qwen3.5-Flash
LMArena Instruction Following11801374

Long Context Qwen3.5-Flash leads

Deepseek Coder v2: 37.0 (#224), Qwen3.5-Flash: 42.4 (#124)

BenchmarkDeepseek Coder v2Qwen3.5-Flash
LMArena Longer Query12191392

Writing & Preference Qwen3.5-Flash leads

Deepseek Coder v2: 38.2 (#253), Qwen3.5-Flash: 57.9 (#122)

BenchmarkDeepseek Coder v2Qwen3.5-Flash
LMArena Text11911397
LMArena Creative Writing11201343
LMArena Multi-Turn11771393

Frequently asked questions

Is Deepseek Coder v2 better than Qwen3.5-Flash?

Qwen3.5-Flash is the stronger model overall, scoring 42.5 to 35.9 on the Noometry Index.

Is Deepseek Coder v2 or Qwen3.5-Flash better for coding?

Deepseek Coder v2 scores higher on coding benchmarks: 38.1 versus 34.2 in the Noometry coding category.

How many benchmarks do Deepseek Coder v2 and Qwen3.5-Flash share?

17 benchmarks have published results for both models. Deepseek Coder v2 has 24 scored results on Noometry and Qwen3.5-Flash has 32.

Related comparisons

Go deeper