Side-by-side comparison of pricing, 12 benchmarks, and generation speed.
| Metric | Kimi K3 (low) | GPT-5.4 (Non-reasoning) |
|---|---|---|
| Input ($/M tokens) | $3 | $2.5 |
| Output ($/M tokens) | $15 | $15 |
Verdict. Kimi K3 (low) wins the overall benchmark matchup 5–2 across 7 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, GPT-5.4 (Non-reasoning) is meaningfully cheaper if your traffic is output-heavy (long completions, document generation, agent loops). GPT-5.4 (Non-reasoning) makes more sense when output volume is low and absolute reasoning quality justifies the premium.
Strengths. Kimi K3 (low) is strongest on GPQA Diamond (84%), Coding Index (72.0), SciCode (51%). GPT-5.4 (Non-reasoning) leads on GPQA Diamond (75%), IFBench (48%), SciCode (47%).
Speed. On throughput, Kimi K3 (low) generates tokens at 32 tok/s versus 0 tok/s — about 100% faster. On time-to-first-token, GPT-5.4 (Non-reasoning) responds in 0ms vs 3352ms, which matters most for chat-style UIs.
Provider. Kimi and OpenAI sell to overlapping but distinct developer audiences: Kimi tends to ship frontier reasoning models with premium positioning, while OpenAI 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); GPT-5.4 (Non-reasoning) costs $300.00 ($3600/year). At a smaller 5M-input/2M-output scale (single-developer tool or prototype): Kimi K3 (low) ≈ $45.00/run, GPT-5.4 (Non-reasoning) ≈ $42.50/run. At agent/realtime scale (200M input / 100M output per million requests): Kimi K3 (low) ≈ $2100/run, GPT-5.4 (Non-reasoning) ≈ $2000/run. GPT-5.4 (Non-reasoning) becomes more attractive at higher volume — the absolute per-token pricing difference compounds when you ship at scale.
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
GPT-5.4 (Non-reasoning) is cheaper overall. Its blended price (3:1 input/output ratio) is $5.63/M tokens vs $6.00/M for Kimi K3 (low).
Kimi K3 (low) wins 5 out of 12 benchmarks compared to 2 for GPT-5.4 (Non-reasoning). See the detailed benchmark chart above for per-category results.
Kimi K3 (low) generates tokens faster at 32 tok/s vs 0 tok/s. However, GPT-5.4 (Non-reasoning) has lower time-to-first-token (0.00s vs 3.35s).
Choose based on your priorities: GPT-5.4 (Non-reasoning) for lower cost, Kimi K3 (low) for stronger benchmark performance, and Kimi K3 (low) for faster generation. For latency-sensitive apps, check the TTFT comparison above.