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Side-by-side comparison of API pricing, context window, latency, and benchmark performance. Data refreshed daily from provider APIs and ModelStop's own latency probes.
💰Qwen3 235B A22B Thinking 2507 FP8 is 68% cheaper than AI21 Jamba 1.6 Large
Price (lower is better), Speed/Latency (lower is better), Performance (higher is better)
Qwen3 235B A22B Thinking 2507 FP8 is 208% cheaper
| Spec | AI21 Jamba 1.6 Large | Qwen3 235B A22B Thinking 2507 FP8 |
|---|---|---|
| Provider | ai21 | qwen |
| Input price / 1M tokens | $2.00 | $0.65 |
| Output price / 1M tokens | $8.00 | $3.00 |
| Context window | 256k tokens | 262k tokens |
| Latency (p50) | — | — |
| Best benchmark score | — | — |
| Open source | No | No |
AI21 Jamba 1.6 Large uses a hybrid Mamba-Transformer architecture offering low memory footprint and high throughput compared to equivalent Transformer models. Features 256K context at a fraction of the inference cost.
Qwen3-235B-A22B-Thinking-2507 is a high-performance, open-weight Mixture-of-Experts (MoE) language model optimized for complex reasoning tasks. It activates 22B of its 235B parameters per forward pass and natively supports up to 262,144...
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