Model comparison

Qwen2.5-Max vs Tulu 3 (Tülu 3) 70B

Qwen2.5-Max is the stronger model overall, scoring 40.7 to 33.0 on the Noometry Index.

Last verified . 11 shared benchmarks.

Qwen2.5-Max Alibaba (Qwen)

40.7

Rank #146 Confirmed

Summary

  • They share 11 benchmarks with published results for both. Qwen2.5-Max scores higher in 8 categories and Tulu 3 (Tülu 3) 70B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where Qwen2.5-Max leads 36.9 to 14.2.
  • Tulu 3 (Tülu 3) 70B has downloadable open weights; the other is API-only.

Side by side

Qwen2.5-Max and Tulu 3 (Tülu 3) 70B specifications
Qwen2.5-MaxTulu 3 (Tülu 3) 70B
ProviderAlibaba (Qwen)Allen Institute for AI (Ai2)
Noometry Index40.733.0
Released2025-01-252024-11-21
WeightsProprietaryOpen
Context window——
Max output——
Input $ / M tokens——
Output $ / M tokens——
Results tracked2714

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Category by category

Coding Qwen2.5-Max leads

Qwen2.5-Max: 41.8 (#117), Tulu 3 (Tülu 3) 70B: 36.0 (#214)

Coding benchmarks
BenchmarkQwen2.5-MaxTulu 3 (Tülu 3) 70B
LMArena Coding13591235
LiveBench Coding64.4%—

Reasoning Qwen2.5-Max leads

Qwen2.5-Max: 25.6 (#147), Tulu 3 (Tülu 3) 70B: 23.9 (#169)

Reasoning benchmarks
BenchmarkQwen2.5-MaxTulu 3 (Tülu 3) 70B
LMArena Hard Prompts13601220
LiveBench Reasoning51.4%—
LiveBench Data Analysis67.9%—
Epoch Capabilities Index132.53—
LiveBench62.3%—

Math Qwen2.5-Max leads

Qwen2.5-Max: 36.9 (#162), Tulu 3 (Tülu 3) 70B: 14.2 (#303)

Math benchmarks
BenchmarkQwen2.5-MaxTulu 3 (Tülu 3) 70B
LMArena Math13691242
OTIS Mock AIME 2024-2025—4.4%
LiveBench Math58.4%—
MATH Level 5—42.7%

Knowledge Qwen2.5-Max leads

Qwen2.5-Max: 35.3 (#186), Tulu 3 (Tülu 3) 70B: 25.0 (#264)

Knowledge benchmarks
BenchmarkQwen2.5-MaxTulu 3 (Tülu 3) 70B
GPQA Diamond—46.3%
Confabulations21.8%—
LMArena Expert1337—

Multilingual Qwen2.5-Max leads

Qwen2.5-Max: 48.1 (#146), Tulu 3 (Tülu 3) 70B: 39.9 (#222)

Multilingual benchmarks
BenchmarkQwen2.5-MaxTulu 3 (Tülu 3) 70B
LMArena Non-English13521236
LMArena Chinese13821249
LMArena Russian13531246
LMArena French1396—
LMArena German1350—
LMArena Japanese1300—
LMArena Korean1304—
LMArena Spanish1377—

Instruction Following Qwen2.5-Max leads

Qwen2.5-Max: 71.3 (#152), Tulu 3 (Tülu 3) 70B: 64.8 (#227)

Instruction Following benchmarks
BenchmarkQwen2.5-MaxTulu 3 (Tülu 3) 70B
LMArena Instruction Following13351233
LiveBench Instruction Following75.3%—

Long Context Qwen2.5-Max leads

Qwen2.5-Max: 41.4 (#142), Tulu 3 (Tülu 3) 70B: 37.1 (#222)

Long Context benchmarks
BenchmarkQwen2.5-MaxTulu 3 (Tülu 3) 70B
LMArena Longer Query13581224

Writing & Preference Qwen2.5-Max leads

Qwen2.5-Max: 55.4 (#146), Tulu 3 (Tülu 3) 70B: 45.6 (#223)

Writing & Preference benchmarks
BenchmarkQwen2.5-MaxTulu 3 (Tülu 3) 70B
LMArena Text13671256
LMArena Creative Writing13391231
LMArena Multi-Turn13641252
Short-Story Creative Writing72.9%—
LiveBench Language56.3%—

Frequently asked questions

Is Qwen2.5-Max better than Tulu 3 (Tülu 3) 70B?

Qwen2.5-Max is the stronger model overall, scoring 40.7 to 33.0 on the Noometry Index.

Is Qwen2.5-Max or Tulu 3 (Tülu 3) 70B better for coding?

Qwen2.5-Max scores higher on coding benchmarks: 41.8 versus 36.0 in the Noometry coding category.

How many benchmarks do Qwen2.5-Max and Tulu 3 (Tülu 3) 70B share?

11 benchmarks have published results for both models. Qwen2.5-Max has 27 scored results on Noometry and Tulu 3 (Tülu 3) 70B has 14.

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