GPT-5.6 Terra vs Qwen3-235B-A22B-Thinking-2507: Specs & Benchmark Comparison
| Characteristic | GPT-5.6 Terra | Qwen3-235B-A22B-Thinking-2507 |
|---|---|---|
| Company | OpenAI | Alibaba |
| Release Date | July 9, 2026 | July 24, 2025 |
| Parameters | — | 235B |
| Multimodal | Yes | No |
| Context (input) | 1.1M | 256K |
| Context (output) | 128K | 131K |
| Input Price / 1M | $2.00 | $0.30 |
| Output Price / 1M | $12.00 | $3.00 |
| Average Score | 0.6 | 0.9 |
Verdict
GPT-5.6 Terra leads in 2 out of 4 comparison categories.
Overall Performance
Both models show comparable average scores: GPT-5.6 Terra — 0.6, Qwen3-235B-A22B-Thinking-2507 — 0.9.
API Cost
Qwen3-235B-A22B-Thinking-2507 is 4.2x cheaper: input $0.30/1M vs $2.00/1M tokens.
Context Window
GPT-5.6 Terra supports a larger context: 1M vs 256K tokens.
Recency
GPT-5.6 Terra is newer: released 7/9/2026 vs 7/24/2025.
More About These Models
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Frequently Asked Questions
Which is better for coding — GPT-5.6 Terra 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 — GPT-5.6 Terra or Qwen3-235B-A22B-Thinking-2507?
Qwen3-235B-A22B-Thinking-2507 is cheaper for input: $0.30 per 1M tokens vs $2.00.
Which has a larger context window — GPT-5.6 Terra or Qwen3-235B-A22B-Thinking-2507?
GPT-5.6 Terra supports a larger context: 1,050,000 tokens vs 256,000.
The GPT-5.6 Terra 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 GPT-5.6 Terra or Qwen3-235B-A22B-Thinking-2507 page. See also the complete list of AI model comparisons.