Kimi K2 Thinking vs GPT-5.4 mini
GPT-5.4 mini comes out ahead, 63 to 58 on our weighted score, though Kimi K2 Thinking is 36% cheaper per token.
Moonshot AI
Kimi K2 Thinking
58/100- ECI146.0
- Price$0.60 / $2.50
- Context262K
- Our pick
OpenAI
GPT-5.4 mini
63/100- ECI148.8
- Price$0.75 / $4.50
- Context400K
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Make it a three-way comparison.
GPT-5.4 mini is our pick
GPT-5.4 mini is the better all-round choice, scoring 63/100 against Kimi K2 Thinking (58). It leads on capability, inputs & features and context window. Kimi K2 Thinking wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGPT-5.4 miniCapabilities Index (ECI): GPT-5.4 mini 148.8 · Kimi K2 Thinking 146.0
- Lowest priceKimi K2 ThinkingKimi K2 Thinking $1.07 · GPT-5.4 mini $1.69 per 1M tokens (3:1 blend)
- Longest contextGPT-5.4 miniGPT-5.4 mini 400,000 · Kimi K2 Thinking 262,144 tokens
- Widest inputsGPT-5.4 miniKimi K2 Thinking: Text · GPT-5.4 mini: Text, Images
- Self-hostingKimi K2 ThinkingPublishes downloadable weights
| Measure | Weight | Kimi K2 Thinking | GPT-5.4 mini |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 73 | 77 |
| Price | 25% | 48 | 39 |
| Inputs & features | 15% | 35 | 70 |
| Context window | 10% | 37 | 44 |
| Overall | 100% | 58/100 | 63/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 146.0 | 148.8 (best) |
| ECI rank | #72 of 148 | #56 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 84.2% | 86.9% (best) |
| FrontierMath Tiers 1–3Research-level mathematics | — | 51.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | 83.1% | 88.9% (best) |
| SimpleQA VerifiedShort factual questions | — | 29.4% |
| Price per million tokens | ||
| Input | $0.60 (best) | $0.75 |
| Output | $2.50 (best) | $4.50 |
| Cached input | — | $0.075 |
| Blended (3:1) | $1.07 (best) | $1.69 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 10 providers | Official OpenAI API |
| Limits | ||
| Context window | 262,144 tokens | 400,000 tokens (best) |
| Max output | 262,144 tokens (best) | 128,000 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yeslow · medium · high · xhigh |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | gpt-5.4-mini |
| API providers | 10 | 29 (best) |
| Released | Nov 6, 2025 | Mar 17, 2026 |
| Knowledge cutoff | Aug 2024 | Aug 31, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Kimi K2 Thinking$11.00
GPT-5.4 mini$16.50
Which should you choose?
Which is better: Kimi K2 Thinking or GPT-5.4 mini?
GPT-5.4 mini is the better all-round choice, scoring 63/100 against Kimi K2 Thinking (58). It leads on capability, inputs & features and context window. Kimi K2 Thinking wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Kimi K2 Thinking or GPT-5.4 mini?
Kimi K2 Thinking is cheaper at $0.60 input / $2.50 output per million tokens (median across 10 API providers). GPT-5.4 mini costs $0.75 input / $4.50 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $1.07 per million tokens for Kimi K2 Thinking versus $1.69 for GPT-5.4 mini (1.6× as much).
Which scores higher on benchmarks?
GPT-5.4 mini scores higher on the Capabilities Index (ECI): GPT-5.4 mini 148.8 (#56 of 148) and Kimi K2 Thinking 146.0 (#72 of 148). The confidence ranges of the top two overlap (147.1–150.5 vs 143.4–147.6), so treat the gap as small. On individual benchmarks: GPQA Diamond — GPT-5.4 mini 86.9%, Kimi K2 Thinking 84.2%; OTIS Mock AIME 2024–2025 — GPT-5.4 mini 88.9%, Kimi K2 Thinking 83.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2 Thinking and GPT-5.4 mini yet, so there is no like-for-like coding score. On overall capability, GPT-5.4 mini leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
GPT-5.4 mini has the largest context window at 400,000 tokens, against 262,144 for Kimi K2 Thinking. Maximum output per response: Kimi K2 Thinking up to 262,144, GPT-5.4 mini up to 128,000 tokens.
Which can read images, PDFs, audio or video?
Kimi K2 Thinking accepts text; GPT-5.4 mini accepts text and images. GPT-5.4 mini handles the widest range of inputs.
Are any of these open source?
Kimi K2 Thinking publishes its weights and can be self-hosted; GPT-5.4 mini is proprietary.
Which is newer?
GPT-5.4 mini is the newest, released Mar 17, 2026. Kimi K2 Thinking came out Nov 6, 2025. Knowledge cutoff: Kimi K2 Thinking Aug 2024, GPT-5.4 mini Aug 31, 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.