Model comparison

DeepSeek-V2.5 (Sep 2024) vs Qwen3-Next 80B-A3B Instruct

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 37.0 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek-V2.5 (Sep 2024) DeepSeek

37.0

Rank #197 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek-V2.5 (Sep 2024) scores higher in 1 category and Qwen3-Next 80B-A3B Instruct in 7 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in coding, where Qwen3-Next 80B-A3B Instruct leads 41.9 to 31.3.

Side by side

DeepSeek-V2.5 (Sep 2024) and Qwen3-Next 80B-A3B Instruct specifications
DeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
ProviderDeepSeekAlibaba (Qwen)
Noometry Index37.042.5
Released2024-09-062025-09
WeightsOpenOpen
Context window—131K
Max output—33K
Input $ / M tokens—$0.50
Output $ / M tokens—$2
Results tracked2225

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

Category by category

Coding Qwen3-Next 80B-A3B Instruct leads

DeepSeek-V2.5 (Sep 2024): 31.3 (#274), Qwen3-Next 80B-A3B Instruct: 41.9 (#101)

Coding benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
LMArena Coding13101441
Aider Polyglot17.8%—
BigCodeBench Instruct48.6%—
BigCodeBench Complete53.2%—
HumanEval+83.5%—
MBPP+74.1%—

Reasoning Qwen3-Next 80B-A3B Instruct leads

DeepSeek-V2.5 (Sep 2024): 24.5 (#145), Qwen3-Next 80B-A3B Instruct: 30.1 (#79)

Reasoning benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
LMArena Hard Prompts12891428
Kagi LLM Benchmark—66.7%

Math Qwen3-Next 80B-A3B Instruct leads

DeepSeek-V2.5 (Sep 2024): 33.3 (#177), Qwen3-Next 80B-A3B Instruct: 36.3 (#118)

Math benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
LMArena Math12891440
Omni-MATH—46.7%

Knowledge Qwen3-Next 80B-A3B Instruct leads

DeepSeek-V2.5 (Sep 2024): 34.2 (#190), Qwen3-Next 80B-A3B Instruct: 41.3 (#102)

Knowledge benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
LMArena Expert12661416
MMLU-Pro—78.6%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—63%

Multilingual Qwen3-Next 80B-A3B Instruct leads

DeepSeek-V2.5 (Sep 2024): 42.7 (#188), Qwen3-Next 80B-A3B Instruct: 52.3 (#88)

Multilingual benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
LMArena Non-English12731407
LMArena Chinese13171461
LMArena French12881415
LMArena German12581416
LMArena Japanese12281398
LMArena Korean12091366
LMArena Russian12891403
LMArena Spanish12481436

Instruction Following Qwen3-Next 80B-A3B Instruct leads

DeepSeek-V2.5 (Sep 2024): 67.7 (#189), Qwen3-Next 80B-A3B Instruct: 71.0 (#154)

Instruction Following benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
LMArena Instruction Following12801388
IFEval—81%

Long Context DeepSeek-V2.5 (Sep 2024) leads

DeepSeek-V2.5 (Sep 2024): 39.5 (#169), Qwen3-Next 80B-A3B Instruct: 37.0 (#218)

Long Context benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
LMArena Longer Query13011403
Fiction.LiveBench—55.6%

Writing & Preference Qwen3-Next 80B-A3B Instruct leads

DeepSeek-V2.5 (Sep 2024): 50.0 (#182), Qwen3-Next 80B-A3B Instruct: 58.2 (#116)

Writing & Preference benchmarks
BenchmarkDeepSeek-V2.5 (Sep 2024)Qwen3-Next 80B-A3B Instruct
LMArena Text12941417
LMArena Creative Writing12851333
LMArena Multi-Turn12971415
WildBench—80.7%

Frequently asked questions

Is DeepSeek-V2.5 (Sep 2024) better than Qwen3-Next 80B-A3B Instruct?

Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 42.5 to 37.0 on the Noometry Index.

Is DeepSeek-V2.5 (Sep 2024) or Qwen3-Next 80B-A3B Instruct better for coding?

Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 41.9 versus 31.3 in the Noometry coding category.

How many benchmarks do DeepSeek-V2.5 (Sep 2024) and Qwen3-Next 80B-A3B Instruct share?

17 benchmarks have published results for both models. DeepSeek-V2.5 (Sep 2024) has 22 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.

Related comparisons

Go deeper