Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) | Kimi K3 (low) |
|---|---|---|
| Input ($/M tokens) | $3 | $3 |
| Output ($/M tokens) | $15 | $15 |
Verdict. Kimi K3 (low) takes the aggregate benchmark matchup 1–0 across 1 categories. Real workloads usually care about a handful of specific tasks — see the per-benchmark table above.
Pricing. Both models sit in the premium bracket for output-token pricing. At 1.0× the per-million-token cost, Kimi K3 (low) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Kimi K3 (low) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) is strongest on Coding Index (63.0), Intelligence Index (30.5). Kimi K3 (low) leads on Coding Index (72.0), Intelligence Index (30.5).
Speed. On throughput, Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) generates tokens at 56 tok/s versus 35 tok/s — about 38% faster. On time-to-first-token, Kimi K3 (low) responds in 3920ms vs 139000ms, which matters most for chat-style UIs.
Provider. Anthropic and Kimi sell to overlapping but distinct developer audiences: Anthropic tends to ship frontier reasoning models with premium positioning, while Kimi often prices more aggressively. Your existing vendor relationships, billing, and SLA preferences may matter as much as the raw numbers above.
Workload cost. Workload scenarios (per million requests at 30M input + 15M output tokens): Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) costs $315.00 ($3780/year); Kimi K3 (low) costs $315.00 ($3780/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) ≈ $45.00/run, Kimi K3 (low) ≈ $45.00/run. At agent/realtime scale (200M input / 100M output per million requests): Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) ≈ $2100/run, Kimi K3 (low) ≈ $2100/run.
Recommendation. Both models have legitimate use cases — the right answer depends on whether you are optimizing for benchmark ceiling, latency, or unit cost. Start with the cheaper / faster model, evaluate against your specific task, and only switch if the upgrade shows a meaningful lift.
Head-to-head deltas
Data from Artificial Analysis API — 12 benchmarks
Both models have similar pricing. Check the detailed breakdown above for input vs output token costs.
Kimi K3 (low) wins 1 out of 12 benchmarks compared to 0 for Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort). See the detailed benchmark chart above for per-category results.
Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) generates tokens faster at 56 tok/s vs 35 tok/s. However, Kimi K3 (low) has lower time-to-first-token (3.92s vs 139.00s).
Choose based on your priorities: both are similarly priced, Kimi K3 (low) for stronger benchmark performance, and Claude Sonnet 4.6 (Adaptive Reasoning, Max Effort) for faster generation. For latency-sensitive apps, check the TTFT comparison above.