Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Kimi K3 (low) | Claude Sonnet 4.6 (Non-reasoning, High Effort) |
|---|---|---|
| Input ($/M tokens) | $3 | $3 |
| Output ($/M tokens) | $15 | $15 |
Verdict. Kimi K3 (low) wins the overall benchmark matchup 2–0 across 2 overlapping categories, but raw benchmark score is only one input to the decision.
Pricing. Both models sit in the premium bracket for output-token pricing. At 1.0× the per-million-token cost, Claude Sonnet 4.6 (Non-reasoning, High Effort) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). Claude Sonnet 4.6 (Non-reasoning, High Effort) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Kimi K3 (low) is strongest on Coding Index (72.0), Intelligence Index (48.3). Claude Sonnet 4.6 (Non-reasoning, High Effort) leads on Intelligence Index (36.8).
Speed. Throughput is comparable — 39 tok/s vs 44 tok/s — so generation speed shouldn't drive your choice here. Look at the per-benchmark wins instead.
Provider. Kimi and Anthropic sell to overlapping but distinct developer audiences: Kimi tends to ship frontier reasoning models with premium positioning, while Anthropic 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): Kimi K3 (low) costs $315.00 ($3780/year); Claude Sonnet 4.6 (Non-reasoning, High Effort) costs $315.00 ($3780/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Kimi K3 (low) ≈ $45.00/run, Claude Sonnet 4.6 (Non-reasoning, High Effort) ≈ $45.00/run. At agent/realtime scale (200M input / 100M output per million requests): Kimi K3 (low) ≈ $2100/run, Claude Sonnet 4.6 (Non-reasoning, High Effort) ≈ $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.
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 2 out of 12 benchmarks compared to 0 for Claude Sonnet 4.6 (Non-reasoning, High Effort). See the detailed benchmark chart above for per-category results.
Claude Sonnet 4.6 (Non-reasoning, High Effort) generates tokens faster at 44 tok/s vs 39 tok/s. However, Claude Sonnet 4.6 (Non-reasoning, High Effort) has lower time-to-first-token (1.68s vs 3.94s).
Choose based on your priorities: both are similarly priced, Kimi K3 (low) for stronger benchmark performance, and Claude Sonnet 4.6 (Non-reasoning, High Effort) for faster generation. For latency-sensitive apps, check the TTFT comparison above.