Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Qwen3 235B A22B 2507 (Reasoning) | Jamba 1.7 Large |
|---|---|---|
| Input ($/M tokens) | $0.7 | $2 |
| Output ($/M tokens) | $8.4 | $8 |
Data from Artificial Analysis API — 12 benchmarks
Qwen3 235B A22B 2507 (Reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $2.63/M tokens vs $3.50/M for Jamba 1.7 Large.
Qwen3 235B A22B 2507 (Reasoning) wins 12 out of 12 benchmarks compared to 0 for Jamba 1.7 Large. See the detailed benchmark chart above for per-category results.
Jamba 1.7 Large generates tokens faster at 54 tok/s vs 45 tok/s. However, Jamba 1.7 Large has lower time-to-first-token (0.86s vs 1.30s).
Choose based on your priorities: Qwen3 235B A22B 2507 (Reasoning) for lower cost, Qwen3 235B A22B 2507 (Reasoning) for stronger benchmark performance, and Jamba 1.7 Large for faster generation. For latency-sensitive apps, check the TTFT comparison above.