Qwen3.7-Max vs Gemini 3.1 Pro
Side-by-side comparison of API pricing, specs, benchmarks, and capabilities
| Specification |
by Alibaba
2 providers:
Alibaba $2.50/$7.50
Together $2.00/$6.00
|
by Google
|
|---|---|---|
| Overview | ||
| Status | Current flagship | Current flagship |
| Released | ||
| Pricing per million tokens | ||
| Input | $2.50/Mtok | $2.00/Mtok |
| Output | $7.50/Mtok | $12.00/Mtok |
| Blended avg | $3.75/Mtok | $4.50/Mtok |
| Cached input | $0.250/Mtok | $0.200/Mtok |
| Price basis | $2.50 in / $7.50 out per 1M is Alibaba's standing rate. The Model Studio price table prints no time-limited reduction against this SKU — its qwen3.7-plus rows on the same table do carry one, so the absence is that table's own signal, not a gap in our reading. | — |
| Specifications | ||
| Context window | 1M tokens | 2M tokens |
| Parameters | Proprietary | Proprietary |
| Speed (TPS) | — | — |
| Modalities | ||
| Input |
text
|
textimageaudiovideo
|
| Benchmarks sources: Artificial Analysis, Alibaba, Qwen model card / Vellum LLM Leaderboard | ||
| GPQA Diamond | 68 vendor | 94.3 |
| Humanity's Last Exam | 25 vendor | 44.4 |
| ARC-AGI 2 | 28 vendor | 77.1 |
| HumanEval | 84 vendor | 80.6 |
| Avg benchmark score | — | 74.8 |
| Perf / dollar | — | 16.6 |
| SWE-Bench Verified | 45 vendor | — |
| Terminal-Bench 2.1 | — | 70.3 |
| MCP Atlas | — | 69.2 |
| BrowseComp | — | 85.9 |
| OSWorld-Verified | — | 76.2 |
| AIME 2025 | 70 vendor | — |
| MMMLU | 80 vendor | — |
| BFCL | 68 vendor | — |
| MATH 500 | 76 vendor | — |
| Independent composite scores each on its own scale — not part of the average above | ||
| AA Intelligence Index | 29.9 | 30.4 |
| AA Agentic Index | 23.9 | 10.3 |
| AA-Omniscience Index (−100–100) | 13.5 | 31.9 |
| GDPval-AA v2 | 1271.8 ELO | — |
| LMSYS Chatbot Arena | — | 1486.8 ELO |
| Providers | ||
| Available from |
Alibaba — $2.50/$7.50/Mtok
Together — $2.00/$6.00/Mtok
|
Google — $2.00/$12.00/Mtok
|
Cost at scale
1M tokens · 50/50 input/output| Volume | Qwen3.7-Max | Gemini 3.1 Pro | Savings |
|---|---|---|---|
| 1M tokens | $3.75 | $4.5 | $0.75 (16.7%) |
| 10M tokens | $37.5 | $45 | $7.5 (16.7%) |
| 100M tokens | $375 | $450 | $75 (16.7%) |
| 1000M tokens | $3750 | $4500 | $750 (16.7%) |
When to pick which
distilled from the pricing and spec data above- cost dominates: $3.75/Mtok blended vs $4.50 — 16.7% less on the same 50/50 token mix
- provider flexibility: available from 2 providers, so you can price-shop hosts or fail over
- you need the longer context: 2M tokens vs 1M (2×)
The cheaper option here — Qwen3.7-Max costs $3.75/Mtok blended on Alibaba.
Summary
Qwen3.7-Max by Alibaba costs $2.50/Mtok input and $7.50/Mtok output, with a 1M-token context window. It supports text input and is available from 2 providers.
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 16.7% cheaper than Gemini 3.1 Pro.
The two aren't directly comparable on average benchmark score: Gemini 3.1 Pro has published per-benchmark results, while Qwen3.7-Max does not yet — it is measured today on independent composites (see the table above).
Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.