o4-mini vs Kimi k1.5
OpenAI vs Moonshot AI · Prices checked 12 August 2026
On blended cost o4-mini undercuts Kimi k1.5 by about 2.3×: $2.09 per million tokens versus $4.75. A single 100K-input, 10K-output job costs $0.154 on o4-mini against $0.350 on Kimi k1.5.
Of the 4 shared benchmarks, Kimi k1.5 takes 3. The widest gap is on GPQA Diamond, where o4-mini leads by 11 points. On context, o4-mini is the larger at 200,000 tokens versus 128,000.
Pricing and capacity
| Metric | o4-mini | Kimi k1.5 | Difference |
|---|---|---|---|
| Input / 1M tokens | $1.10 | $2.50 | 2.3× |
| Output / 1M tokens | $4.40 | $10.00 | 2.3× |
| Blended · 70/30calculated | $2.09 | $4.75 | 2.3× |
| Blended · 50/50calculated | $2.75 | $6.25 | 2.3× |
| Blended · 80/20calculated | $1.76 | $4.00 | 2.3× |
| Blended · 20/80calculated | $3.74 | $8.50 | 2.3× |
| Job cost · 100K + 10Kcalculated | $0.154 | $0.350 | 2.3× |
| Job cost · 1M + 100Kcalculated | $1.54 | $3.50 | 2.3× |
| Context window | 200,000 | 128,000 | 36% |
Input and output rates are as published by each provider. Blended and job-cost rows are calculated comparison metrics, not published prices — how they are derived.
Benchmarks
| Benchmark | o4-mini | Kimi k1.5 | Leader |
|---|---|---|---|
| MMLU | 85% | 88% | Kimi k1.5 |
| GPQA Diamond | 81% | 70% | o4-mini |
| MATH | 94% | 96% | Kimi k1.5 |
| HumanEval | 90% | 92% | Kimi k1.5 |
Only suites both models report are listed, so a missing score is never shown as a loss. Figures are provider-published or from public leaderboards and are not independently re-run.
What each model is for
o4-mini
OpenAI · Reasoning
Lower-cost reasoning model. Strong on math and code at a fraction of the o3 price.
- Cheap reasoning
- Fast for an o-series
- Good math/code
Kimi k1.5
Moonshot AI · Reasoning
Moonshot's reasoning Kimi. RL-trained chain-of-thought competitive with o1 on math benchmarks; long-context strength is the Kimi signature.
- Reasoning + long context
- Strong math
- Visible thinking
- Aggressive Chinese pricing
Frequently asked questions
Which is cheaper, o4-mini or Kimi k1.5?
On blended cost o4-mini undercuts Kimi k1.5 by about 2.3×: $2.09 per million tokens versus $4.75. A single 100K-input, 10K-output job costs $0.154 on o4-mini against $0.350 on Kimi k1.5. Blended cost weights input at 70% and output at 30%; price your own token split for an exact answer, since the cheaper model on a blended basis is not always cheaper for your workload.
Which performs better, o4-mini or Kimi k1.5?
Of the 4 shared benchmarks, Kimi k1.5 takes 3. The widest gap is on GPQA Diamond, where o4-mini leads by 11 points. These are the figures each provider or public leaderboard publishes, not results we re-run, and a benchmark average can hide the specific behaviour your workload depends on.
Which has the larger context window, o4-mini or Kimi k1.5?
On context, o4-mini is the larger at 200,000 tokens versus 128,000. The context window caps everything in a single request: prompt, retrieved documents, conversation history and the model’s own output all share it.
Can I compare o4-mini and Kimi k1.5 on my own numbers?
Yes. Open both in the side-by-side comparison tool to see every field at once, or use the token calculator to price your actual prompt and monthly request volume against each model. Both are free and need no sign-up.
Price it for your own workload
Related matchups
Terms used on this page
Prices and scores are recomputed on every deploy from the catalogue. Prices checked 12 August 2026.