Kimi K2.7 Code Highspeed vs Gemma 4 31B IT
Gemma 4 31B IT comes out ahead, 70 to 44 on our weighted score, and it is the cheaper option too.
Moonshot AI
Kimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
- Our pick
Google
Gemma 4 31B IT
70/100- ECI142.8
- Price$0.14 / $0.40
- Context262K
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Gemma 4 31B IT is our pick
Gemma 4 31B IT is the better all-round choice, scoring 70/100 against Kimi K2.7 Code Highspeed (44). It leads on price. Kimi K2.7 Code Highspeed wins on inputs & features. 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 priceGemma 4 31B ITGemma 4 31B IT $0.205 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
- Longest contextAbout the sameKimi K2.7 Code Highspeed 262,144 · Gemma 4 31B IT 262,144 tokens
- Widest inputsKimi K2.7 Code HighspeedKimi K2.7 Code Highspeed: Text, Images, Video · Gemma 4 31B IT: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Kimi K2.7 Code Highspeed | Gemma 4 31B IT |
|---|---|---|---|
| Price | 50% | 25 | 83 |
| Inputs & features | 30% | 80 | 70 |
| Context window | 20% | 37 | 37 |
| Overall | 100% | 44/100 | 70/100 |
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) | — | 142.8 |
| ECI rank | — | #86 of 148 |
| GPQA DiamondGraduate-level science questions | — | 75.8% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 73.3% |
| SimpleQA VerifiedShort factual questions | — | 10.4% |
| Price per million tokens | ||
| Input | $1.90 | $0.14 (best) |
| Output | $8.00 | $0.40 (best) |
| Cached input | — | — |
| Blended (3:1) | $3.42 | $0.205 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 11 providers | Median of 30 providers |
| Limits | ||
| Context window | 262,144 tokens | 262,144 tokens |
| Max output | 262,144 tokens (best) | 32,768 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | Yes |
| Availability | ||
| Weights | Open | Open |
| API model ID | — | gemma-4-31b-it |
| API providers | 11 | 38 (best) |
| Released | Jun 12, 2026 | Apr 2, 2026 |
| Knowledge cutoff | 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.
Kimi K2.7 Code Highspeed$35.00
Gemma 4 31B IT$2.20
Which should you choose?
Which is better: Kimi K2.7 Code Highspeed or Gemma 4 31B IT?
Gemma 4 31B IT is the better all-round choice, scoring 70/100 against Kimi K2.7 Code Highspeed (44). It leads on price. Kimi K2.7 Code Highspeed wins on inputs & features. 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, Kimi K2.7 Code Highspeed or Gemma 4 31B IT?
Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 API providers). Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $0.205 per million tokens for Gemma 4 31B IT versus $3.42 for Kimi K2.7 Code Highspeed (17× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Kimi K2.7 Code Highspeed has not been scored yet and Gemma 4 31B IT has an ECI of 142.8.
Which is better for coding?
There are no published SWE-bench Verified results for Kimi K2.7 Code Highspeed and Gemma 4 31B IT yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Kimi K2.7 Code Highspeed and Gemma 4 31B IT share the same 262,144-token context window. Maximum output per response: Kimi K2.7 Code Highspeed up to 262,144, Gemma 4 31B IT up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Kimi K2.7 Code Highspeed accepts text, images and video; Gemma 4 31B IT accepts text and images. Kimi K2.7 Code Highspeed handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. Gemma 4 31B IT came out Apr 2, 2026. Knowledge cutoff: 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.