Moonshotai Kimi K2.5 vs Qwen Qwen3.235b A22b Thinking 2507
Moonshotai Kimi K2.5 vs Qwen Qwen3.235b A22b Thinking 2507: Qwen Qwen3.235b A22b Thinking 2507 is cheaper by 50% on average. Moonshotai Kimi K2.5 from W&B Inference (262,144-token context, reasoning, tool calls) vs. Qwen Qwen3.235b A22b Thinking 2507 from Novita AI (131,072-token context, reasoning, tool calls). Use Agent Command Center to A/B both in shadow mode and pick the winner per workload.
Side-by-side cost
Live workload comparison
Same workload run through both models. The cheaper one is highlighted.
3,000
0262,144
400
0200,000
5,000
01,000,000
At this workload, Qwen Qwen3.235b A22b Thinking 2507 is 30% cheaper than Moonshotai Kimi K2.5 — a savings of $137/month ($1,644/year).
Production recipe — Agent Command Center
strategy: cost-optimized
primary:
model: qwen-qwen3-235b-a22b-thinking-2507
provider: novita-ai
fallback:
model: moonshotai-kimi-k2-5
provider: wandb-inference
shadow: { sample_rate: 0.05 } # mirror 5% of traffic to compare quality live| Moonshotai Kimi K2.5 | Qwen Qwen3.235b A22b Thinking 2507 | |
|---|---|---|
| Input price | $0.600/M | $0.300/M |
| Output price | $3.00/M | $3.00/M |
| Context window | 262,144 | 131,072 |
| Max output | 262,144 | 32,768 |
| Function calling | ✓ | ✓ |
| Vision | ✓ | — |
| Audio input | — | — |
| Reasoning | ✓ | ✓ |
| Prompt caching | — | — |
| Structured output | ✓ | — |
| Pricing verified | May 12, 2026 | May 12, 2026 |