Kimi K2 Thinking Turbo vs GPT-5-Codex vs GPT-5.1 Chat
GPT-5-Codex comes out ahead, 60 to 52 and 36 on our weighted score.
Moonshot AIKimi K2 Thinking Turbo
36/100- ECI—
- Price—
- Context262K
- Our pick
OpenAIGPT-5-Codex
60/100- ECI—
- Price$1.25 / $10.00
- Context400K
- OpenAI
GPT-5.1 Chat
52/100- ECI—
- Price$1.25 / $10.00
- Context128K
GPT-5-Codex is our pick
GPT-5-Codex is the better all-round choice, scoring 60/100 against GPT-5.1 Chat (52) and Kimi K2 Thinking Turbo (36). It leads on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGPT-5-Codex and GPT-5.1 ChatGPT-5-Codex $3.44 · GPT-5.1 Chat $3.44 per 1M tokens (3:1 blend) · Kimi K2 Thinking Turbo unpriced
- Longest contextGPT-5-CodexGPT-5-Codex 400,000 · Kimi K2 Thinking Turbo 262,144 · GPT-5.1 Chat 128,000 tokens
- Widest inputsGPT-5-Codex and GPT-5.1 ChatKimi K2 Thinking Turbo: Text · GPT-5-Codex: Text, Images · GPT-5.1 Chat: Text, Images
- Self-hostingKimi K2 Thinking TurboPublishes downloadable weights
| Measure | Weight | Kimi K2 Thinking Turbo | GPT-5-Codex | GPT-5.1 Chat |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 70 | 70 |
| Context window | 40% | 37 | 44 | 24 |
| Overall | 100% | 36/100 | 60/100 | 52/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Kimi K2 Thinking TurboMoonshot AI | GPT-5-CodexOpenAI | GPT-5.1 ChatOpenAI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $1.25 | $1.25 |
| Output | — | $10.00 | $10.00 |
| Cached input | — | — | — |
| Blended (3:1) | — | $3.44 | $3.44 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 3 providers | Median of 2 providers |
| Limits | |||
| Context window | 262,144 tokens | 400,000 tokens (best) | 128,000 tokens |
| Max output | 262,144 tokens (best) | 128,000 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Proprietary | Proprietary |
| API model ID | — | — | — |
| API providers | — | 3 (best) | 2 |
| Released | Nov 6, 2025 | Sep 15, 2025 | Nov 13, 2025 |
| Knowledge cutoff | Aug 2024 | Sep 30, 2024 | Sep 30, 2024 |
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 Turbo—
- GPT-5-Codex$32.50
- GPT-5.1 Chat$32.50
Which should you choose?
Which is better: Kimi K2 Thinking Turbo, GPT-5-Codex or GPT-5.1 Chat?
GPT-5-Codex is the better all-round choice, scoring 60/100 against GPT-5.1 Chat (52) and Kimi K2 Thinking Turbo (36). It leads on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Kimi K2 Thinking Turbo, GPT-5-Codex or GPT-5.1 Chat?
GPT-5-Codex is cheaper at $1.25 input / $10.00 output per million tokens (median across 3 API providers). GPT-5.1 Chat costs $1.25 input / $10.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $3.44 per million tokens for GPT-5-Codex versus $3.44 for GPT-5.1 Chat (1× as much). Kimi K2 Thinking Turbo has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Kimi K2 Thinking Turbo has not been scored yet, GPT-5-Codex has not been scored yet and GPT-5.1 Chat has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2 Thinking Turbo, GPT-5-Codex and GPT-5.1 Chat yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
GPT-5-Codex has the largest context window at 400,000 tokens, against 262,144 for Kimi K2 Thinking Turbo and 128,000 for GPT-5.1 Chat. Maximum output per response: Kimi K2 Thinking Turbo up to 262,144, GPT-5-Codex up to 128,000, GPT-5.1 Chat up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Kimi K2 Thinking Turbo accepts text; GPT-5-Codex accepts text and images; GPT-5.1 Chat accepts text and images. GPT-5-Codex handles the widest range of inputs.
Are any of these open source?
Kimi K2 Thinking Turbo publishes its weights and can be self-hosted; GPT-5-Codex and GPT-5.1 Chat is proprietary.
Which is newer?
GPT-5.1 Chat is the newest, released Nov 13, 2025. Kimi K2 Thinking Turbo came out Nov 6, 2025; GPT-5-Codex came out Sep 15, 2025. Knowledge cutoff: Kimi K2 Thinking Turbo Aug 2024, GPT-5-Codex Sep 30, 2024, GPT-5.1 Chat Sep 30, 2024.
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.
