Kimi vs Claude: coding, reasoning and price
Kimi K3 saves 25% per example request on Novita AI ($0.045 vs $0.060 for Claude Opus 5.5), but Claude leads Terminal-Bench 4.0 by 47.0 pp, HLE by 14.5 pp and streams 1.8× faster (96.8 vs 52.7 tokens/s); choose Kimi when that saving outweighs those gaps.
| Dimension | Winner | Margin | Evidence |
|---|---|---|---|
| Coding benchmark | Claude Opus 5.5 | 47.0 pp | Terminal-Bench 4.0: Claude 59.6% vs Kimi K3 12.6%12 |
| Reasoning benchmark | Claude Opus 5.5 | 14.5 pp | HLE: Claude 61.4% vs Kimi K3 46.9%12 |
| Output speed (tokens/s) | Claude Opus 5.5 | 44.1 tokens/s | Claude 96.8 vs Kimi K3 52.7 tokens/s12 |
| Estimated request cost | Kimi K3 | $0.015 | Kimi K3 $0.045 vs Claude $0.06034 |
Coding and reasoning benchmarks
Performance
Prices and request cost
| Metric | Kimi K3 | Claude Opus 5.5 |
|---|---|---|
| Input / 1M tokens34 | $3.00 | $4.00 |
| Output / 1M tokens34 | $15.00 | $20.00 |
| Context window (tokens)34 | 1,048,576 | 1,000,000 |
When each option fits
Kimi K3
- Kimi K3’s Novita AI rates of $3.00/$15.00 per 1M tokens are exactly 75% of Claude’s $4.00/$20.00, so the saving is 25% per request rather than an order of magnitude.34
- Kimi K3’s closest benchmark to Claude is SciCode, 59.5% versus 66.9% (7.4 pp); its largest gap is agentic coding, 12.6% versus 59.6% on Terminal-Bench 4.0 (47.0 pp).12
- For shorter waits before the answer starts, Kimi K3’s AA median time to first answer token is 40.9 s versus Claude’s 676.8 s.12
Claude Opus 5.5
- For reasoning-heavy tasks, Claude leads HLE by 14.5 pp, 61.4% versus 46.9%.12
- For long outputs, Claude’s AA output speed of 96.8 tokens/s is 1.8× Kimi K3’s 52.7 tokens/s.12
- At $0.060 versus $0.045 per example request, Claude costs one-third more while leading every benchmark row and output speed on this page.1234
Methodology and sources
AA uses the named reasoning configurations; Claude Opus 5.5 is Max with default fallback.123
Coding and reasoning rows use the same AA evaluation versions: Terminal-Bench 4.0, HLE and SciCode. The available official reports do not provide this exact current model pair under a common setup. AA output speed and time to first answer token are model references, not Novita endpoint guarantees; the latter is AA’s median for its 10,000-input-token prompt and includes reasoning for both models. Prices and context windows are Novita AI’s listed values for Kimi K3 and Anthropic’s for Claude Opus 5.5; the uncached example uses 10,000 input and 1,000 billed output tokens.
Costs are estimates at listed rates for uncached synchronous requests, not measured invoices; billed output includes reasoning. Tax, retries, discounts and negotiated capacity are excluded. Novita AI publishes this page using public sources, without a private workload benchmark.
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