MiMo-V2.5-Pro vs Kimi K2.7 Code Highspeed vs Gemini 3.1 Flash Lite
Gemini 3.1 Flash Lite comes out ahead, 73 to 54 and 44 on our weighted score.
Xiaomi
MiMo-V2.5-Pro
54/100- ECI—
- Price$0.435 / $0.87
- Context1.05M
Moonshot AI
Kimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
- Our pick
Google
Gemini 3.1 Flash Lite
73/100- ECI—
- Price$0.25 / $1.50
- Context1.05M
Gemini 3.1 Flash Lite is our pick
Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against MiMo-V2.5-Pro (54) and Kimi K2.7 Code Highspeed (44). It leads 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 priceMiMo-V2.5-ProMiMo-V2.5-Pro $0.544 · Gemini 3.1 Flash Lite $0.563 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.5-Pro and Gemini 3.1 Flash LiteMiMo-V2.5-Pro 1,048,576 · Gemini 3.1 Flash Lite 1,048,576 · Kimi K2.7 Code Highspeed 262,144 tokens
- Widest inputsGemini 3.1 Flash LiteMiMo-V2.5-Pro: Text · Kimi K2.7 Code Highspeed: Text, Images, Video · Gemini 3.1 Flash Lite: Text, Images, PDFs, Audio, Video
- Self-hostingMiMo-V2.5-Pro and Kimi K2.7 Code HighspeedPublishes downloadable weights
| Measure | Weight | MiMo-V2.5-Pro | Kimi K2.7 Code Highspeed | Gemini 3.1 Flash Lite |
|---|---|---|---|---|
| Price | 50% | 62 | 25 | 62 |
| Inputs & features | 30% | 35 | 80 | 100 |
| Context window | 20% | 61 | 37 | 61 |
| Overall | 100% | 54/100 | 44/100 | 73/100 |
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 | $0.435 | $1.90 | $0.25 (best) |
| Output | $0.87 (best) | $8.00 | $1.50 |
| Cached input | $0.0036 (best) | — | $0.025 |
| Blended (3:1) | $0.544 (best) | $3.42 | $0.563 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Xiaomi API | Median of 11 providers | Official Google API |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 131,072 tokens | 262,144 tokens (best) | 65,536 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | Yes |
| PDFs | No | No | Yes |
| Audio | No | No | Yes |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yesminimal · low · medium · high |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | Yes |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | mimo-v2.5-pro | — | gemini-3.1-flash-lite |
| API providers | 20 | 11 | 23 (best) |
| Released | Apr 22, 2026 | Jun 12, 2026 | May 7, 2026 |
| Knowledge cutoff | Dec 2024 | Jan 2025 | 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.
MiMo-V2.5-Pro$6.09
Kimi K2.7 Code Highspeed$35.00
Gemini 3.1 Flash Lite$5.50
Which should you choose?
Which is better: MiMo-V2.5-Pro, Kimi K2.7 Code Highspeed or Gemini 3.1 Flash Lite?
Gemini 3.1 Flash Lite is the better all-round choice, scoring 73/100 against MiMo-V2.5-Pro (54) and Kimi K2.7 Code Highspeed (44). It leads 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, MiMo-V2.5-Pro, Kimi K2.7 Code Highspeed or Gemini 3.1 Flash Lite?
MiMo-V2.5-Pro is cheaper at $0.435 input / $0.87 output per million tokens (official Xiaomi API price). Gemini 3.1 Flash Lite costs $0.25 input / $1.50 output per million tokens (official Google API price); 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 $0.544 per million tokens for MiMo-V2.5-Pro versus $0.563 for Gemini 3.1 Flash Lite (1× as much) and $3.42 for Kimi K2.7 Code Highspeed (6.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiMo-V2.5-Pro has not been scored yet, Kimi K2.7 Code Highspeed has not been scored yet and Gemini 3.1 Flash Lite has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiMo-V2.5-Pro, Kimi K2.7 Code Highspeed and Gemini 3.1 Flash Lite 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?
MiMo-V2.5-Pro and Gemini 3.1 Flash Lite have the largest context windows (1,048,576 and 1,048,576 tokens), against 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: MiMo-V2.5-Pro up to 131,072, Kimi K2.7 Code Highspeed up to 262,144, Gemini 3.1 Flash Lite up to 65,536 tokens.
Which can read images, PDFs, audio or video?
MiMo-V2.5-Pro accepts text; Kimi K2.7 Code Highspeed accepts text, images and video; Gemini 3.1 Flash Lite accepts text, images, PDFs, audio and video. Gemini 3.1 Flash Lite handles the widest range of inputs.
Are any of these open source?
MiMo-V2.5-Pro and Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; Gemini 3.1 Flash Lite is proprietary.
Which is newer?
Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. Gemini 3.1 Flash Lite came out May 7, 2026; MiMo-V2.5-Pro came out Apr 22, 2026. Knowledge cutoff: MiMo-V2.5-Pro Dec 2024, Kimi K2.7 Code Highspeed Jan 2025, Gemini 3.1 Flash Lite 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.