Compare · ModelsLive · 2 picked · head to head
Gemini 1.5 Pro (May 2024) vs Qwen2.5-Max
Side by side · benchmarks, pricing, and signals you can act on.
Winner summary
Qwen2.5-Max wins on 3/3 benchmarks
Qwen2.5-Max wins 3 of 3 shared benchmarks. Leads in knowledge · math.
Category leads
knowledge·Qwen2.5-Maxmath·Qwen2.5-Max
Hype vs Reality
Attention vs performance
Gemini 1.5 Pro (May 2024)
#202 by perf·no signal
Qwen2.5-Max
#184 by perf·#2 by attention
Best value
Pricing unknown
Gemini 1.5 Pro (May 2024)
n/a
no price
Qwen2.5-Max
n/a
no price
Vendor risk
Who is behind the model
Google DeepMind
$4.20T·Tier 1
Alibaba (Qwen)
$293.0B·Tier 1
Head to head
3 benchmarks · 2 models
Gemini 1.5 Pro (May 2024)Qwen2.5-Max
GPQA diamond
Qwen2.5-Max leads by +13.7
Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs.
Gemini 1.5 Pro (May 2024)
27.8
Qwen2.5-Max
41.5
MATH level 5
Qwen2.5-Max leads by +26.4
MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics.
Gemini 1.5 Pro (May 2024)
40.8
Qwen2.5-Max
67.2
OTIS Mock AIME 2024-2025
Qwen2.5-Max leads by +9.3
OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills.
Gemini 1.5 Pro (May 2024)
6.7
Qwen2.5-Max
16.0
Full benchmark table
| Benchmark | Gemini 1.5 Pro (May 2024) | Qwen2.5-Max |
|---|---|---|
GPQA diamond Graduate-Level Google-Proof QA (Diamond set) · expert-crafted questions in physics, biology, and chemistry that are difficult even for domain PhDs. | 27.8 | 41.5 |
MATH level 5 MATH Level 5 · the hardest tier of the MATH benchmark, featuring competition-level problems from AMC, AIME, and Olympiad-style mathematics. | 40.8 | 67.2 |
OTIS Mock AIME 2024-2025 OTIS Mock AIME 2024-2025 · simulated American Invitational Mathematics Examination problems testing advanced problem-solving skills. | 6.7 | 16.0 |
Pricing · per 1M tokens · projected $/mo at 10M tokens
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