Gemini 2.5 Computer Use Preview vs GPT-5.1 Chat vs Kimi K2.7 Code Highspeed
Kimi K2.7 Code Highspeed comes out ahead, 44 to 38 and 35 on our weighted score, and it is the cheaper option too.
Google
Gemini 2.5 Computer Use Preview
35/100- ECI—
- Price$1.25 / $10.00
- Context128K
OpenAI
GPT-5.1 Chat
38/100- ECI—
- Price$1.25 / $10.00
- Context128K
- Our pick
Moonshot AI
Kimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
Kimi K2.7 Code Highspeed is our pick
Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against GPT-5.1 Chat (38) and Gemini 2.5 Computer Use Preview (35). It leads on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. 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 priceKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed $3.42 · Gemini 2.5 Computer Use Preview $3.44 · GPT-5.1 Chat $3.44 per 1M tokens (3:1 blend)
- Longest contextKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed 262,144 · Gemini 2.5 Computer Use Preview 128,000 · GPT-5.1 Chat 128,000 tokens
- Widest inputsKimi K2.7 Code HighspeedGemini 2.5 Computer Use Preview: Text, Images · GPT-5.1 Chat: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video
- Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
| Measure | Weight | Gemini 2.5 Computer Use Preview | GPT-5.1 Chat | Kimi K2.7 Code Highspeed |
|---|---|---|---|---|
| Price | 50% | 24 | 24 | 25 |
| Inputs & features | 30% | 60 | 70 | 80 |
| Context window | 20% | 24 | 24 | 37 |
| Overall | 100% | 35/100 | 38/100 | 44/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.25 (best) | $1.25 (best) | $1.90 |
| Output | $10.00 | $10.00 | $8.00 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $3.44 | $3.44 | $3.42 (best) |
| Long-context rate | Over 200K: $2.50 / $15.00 | Same rate | Same rate |
| Price source | Official Google API | Median of 2 providers | Median of 11 providers |
| Limits | |||
| Context window | 128,000 tokens | 128,000 tokens | 262,144 tokens (best) |
| Max output | 64,000 tokens | 16,384 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | Yes |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | gemini-2.5-computer-use-preview-10-2025 | — | — |
| API providers | 2 | 2 | 11 (best) |
| Released | Oct 7, 2025 | Nov 13, 2025 | Jun 12, 2026 |
| Knowledge cutoff | Jan 2025 | Sep 30, 2024 | Jan 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini 2.5 Computer Use Preview$32.50
GPT-5.1 Chat$32.50
Kimi K2.7 Code Highspeed$35.00
Which should you choose?
Which is better: Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or Kimi K2.7 Code Highspeed?
Kimi K2.7 Code Highspeed is the better all-round choice, scoring 44/100 against GPT-5.1 Chat (38) and Gemini 2.5 Computer Use Preview (35). It leads on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemini 2.5 Computer Use Preview, GPT-5.1 Chat or Kimi K2.7 Code Highspeed?
Kimi K2.7 Code Highspeed is cheaper at $1.90 input / $8.00 output per million tokens (median across 11 API providers). Gemini 2.5 Computer Use Preview costs $1.25 input / $10.00 output per million tokens (official Google API price); 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 $3.42 per million tokens for Kimi K2.7 Code Highspeed versus $3.44 for Gemini 2.5 Computer Use Preview (1× as much) and $3.44 for GPT-5.1 Chat (1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.5 Computer Use Preview has not been scored yet, GPT-5.1 Chat has not been scored yet and Kimi K2.7 Code Highspeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Computer Use Preview, GPT-5.1 Chat and Kimi K2.7 Code Highspeed 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?
Kimi K2.7 Code Highspeed has the largest context window at 262,144 tokens, against 128,000 for Gemini 2.5 Computer Use Preview and 128,000 for GPT-5.1 Chat. Maximum output per response: Gemini 2.5 Computer Use Preview up to 64,000, GPT-5.1 Chat up to 16,384, Kimi K2.7 Code Highspeed up to 262,144 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Computer Use Preview accepts text and images; GPT-5.1 Chat accepts text and images; Kimi K2.7 Code Highspeed accepts text, images and video. Kimi K2.7 Code Highspeed handles the widest range of inputs.
Are any of these open source?
Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; Gemini 2.5 Computer Use Preview and GPT-5.1 Chat is proprietary.
Which is newer?
Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. GPT-5.1 Chat came out Nov 13, 2025; Gemini 2.5 Computer Use Preview came out Oct 7, 2025. Knowledge cutoff: Gemini 2.5 Computer Use Preview Jan 2025, GPT-5.1 Chat Sep 30, 2024, Kimi K2.7 Code Highspeed Jan 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.