LIVE Cheapest paid: Granite 4.0 Micro $0.017/Mtok in 173 models tracked Updated Jul 10, 2026
Jul 10, 2026
ModelPriceWatch$/Mtok
Pricing / Compare / Qwen3.7-Max vs Gemini 3.1 Pro

Qwen3.7-Max vs Gemini 3.1 Pro

Side-by-side comparison of API pricing, specs, benchmarks, and capabilities

Qwen3.7-Max is 64.3% cheaper on blended cost ($2.50 vs $7.00/Mtok) — note: different model classes (mid tier vs flagship)
 
Gby Google
Overview
StatusCurrent mid tier Open weights Current flagship
Released May 20, 2026 Nov 1, 2025
Pricing per million tokens
Input $1.25/Mtok $2.00/Mtok
Output $3.75/Mtok $12.00/Mtok
Blended avg $2.50/Mtok $7.00/Mtok
Cached input $0.130/Mtok $0.200/Mtok
Specifications
Context window 1M tokens 2M tokens
Parameters Proprietary Proprietary
Speed (TPS)
Modalities
Input
text
textimageaudiovideo
Benchmarks sources: Together AI, Qwen model card / Vellum LLM Leaderboard
Avg benchmark score 79.3
Perf / dollar 11.3
GPQA Diamond 68 88
SWE-Bench 45 75
HumanEval 84 93
MATH 500 76 95
Providers
Available from
Together — $1.25/$3.75/Mtok
Google — $2.00/$12.00/Mtok

Cost at scale — 1M tokens (50/50 input/output)

VolumeQwen3.7-MaxGemini 3.1 ProSavings
1M tokens $2.5 $7 $4.5 (64.3%)
10M tokens $25 $70 $45 (64.3%)
100M tokens $250 $700 $450 (64.3%)
1000M tokens $2500 $7000 $4500 (64.3%)

Summary

Qwen3.7-Max by Together costs $1.25/Mtok input and $3.75/Mtok output, with a 1M-token context window. It supports text input.

Gemini 3.1 Pro by Google costs $2.00/Mtok input and $12.00/Mtok output, with a 2M-token context window. It supports text, image, audio, video input.

On a blended cost basis, Qwen3.7-Max is 64.3% cheaper than Gemini 3.1 Pro.

On benchmarks, Gemini 3.1 Pro scores higher (79.3 vs ) on average. In terms of value, Gemini 3.1 Pro has better performance per dollar (11.3 vs ).

Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.