Gemini 3.7 Flash vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | Gemini 3.7 Flash | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | Alibaba | |
| Release Date | August 13, 2026 | July 24, 2025 |
| Parameters | — | 235B |
| Multimodal | Yes | No |
| Context (input) | 1.0M | 256K |
| Context (output) | 66K | 131K |
| Input Price / 1M | $0.75 | $0.30 |
| Output Price / 1M | $3.75 | $3.00 |
| Average Score | 0.8 | 0.9 |
Verdict
Gemini 3.7 Flash leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: Gemini 3.7 Flash — 0.8, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
Qwen3-235B-A22B-Thinking-2507 is 1.4x cheaper: input $0.30/1M vs $0.75/1M tokens.
Context Window
Gemini 3.7 Flash supports a larger context: 1M vs 256K tokens.
Recency
Gemini 3.7 Flash is newer: released 8/13/2026 vs 7/24/2025.
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Frequently Asked Questions
Which is better for coding — Gemini 3.7 Flash or Qwen3-235B-A22B-Thinking-2507?
Direct comparison on the SWE-Bench benchmark is not available. We recommend reviewing other metrics on the comparison page.
Which model is cheaper — Gemini 3.7 Flash or Qwen3-235B-A22B-Thinking-2507?
Qwen3-235B-A22B-Thinking-2507 is cheaper for input: $0.30 per 1M tokens vs $0.75.
Which has a larger context window — Gemini 3.7 Flash or Qwen3-235B-A22B-Thinking-2507?
Gemini 3.7 Flash supports a larger context: 1,000,000 tokens vs 256,000.
The Gemini 3.7 Flash and Qwen3-235B-A22B-Thinking-2507 comparison is updated for 2026. Data includes benchmark results, API pricing, context window size and other specifications. For more detailed information, visit the Gemini 3.7 Flash or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.