Command A Plus vs Kimi K2.7 Code Highspeed vs MiMo-V2.5-Pro
MiMo-V2.5-Pro comes out ahead, 54 to 44 and 35 on our weighted score, and it is the cheaper option too.
CohereCommand A Plus
35/100- ECI—
- Price$2.50 / $10.00
- Context128K
Moonshot AIKimi K2.7 Code Highspeed
44/100- ECI—
- Price$1.90 / $8.00
- Context262K
- Our pick
XiaomiMiMo-V2.5-Pro
54/100- ECI—
- Price$0.435 / $0.87
- Context1.05M
MiMo-V2.5-Pro is our pick
MiMo-V2.5-Pro is the better all-round choice, scoring 54/100 against Kimi K2.7 Code Highspeed (44) and Command A Plus (35). It leads on price and context window. 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 priceMiMo-V2.5-ProMiMo-V2.5-Pro $0.544 · Kimi K2.7 Code Highspeed $3.42 · Command A Plus $4.38 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2.5-ProMiMo-V2.5-Pro 1,048,576 · Kimi K2.7 Code Highspeed 262,144 · Command A Plus 128,000 tokens
- Widest inputsKimi K2.7 Code HighspeedCommand A Plus: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video · MiMo-V2.5-Pro: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Command A Plus | Kimi K2.7 Code Highspeed | MiMo-V2.5-Pro |
|---|---|---|---|---|
| Price | 50% | 19 | 25 | 62 |
| Inputs & features | 30% | 70 | 80 | 35 |
| Context window | 20% | 24 | 37 | 61 |
| Overall | 100% | 35/100 | 44/100 | 54/100 |
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 | Command A PlusCohere | Kimi K2.7 Code HighspeedMoonshot AI | MiMo-V2.5-ProXiaomi |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $2.50 | $1.90 | $0.435 (best) |
| Output | $10.00 | $8.00 | $0.87 (best) |
| Cached input | — | — | $0.0036 |
| Blended (3:1) | $4.38 | $3.42 | $0.544 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 11 providers | Official Xiaomi API |
| Limits | |||
| Context window | 128,000 tokens | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 64,000 tokens | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | command-a-plus-05-2026 | — | mimo-v2.5-pro |
| API providers | 1 | 11 | 20 (best) |
| Released | May 20, 2026 | Jun 12, 2026 | Apr 22, 2026 |
| Knowledge cutoff | Apr 1, 2025 | Jan 2025 | Dec 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Command A Plus$45.00
- Kimi K2.7 Code Highspeed$35.00
- MiMo-V2.5-Pro$6.09
Which should you choose?
Which is better: Command A Plus, Kimi K2.7 Code Highspeed or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is the better all-round choice, scoring 54/100 against Kimi K2.7 Code Highspeed (44) and Command A Plus (35). It leads on price and context window. 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, Command A Plus, Kimi K2.7 Code Highspeed or MiMo-V2.5-Pro?
MiMo-V2.5-Pro is cheaper at $0.435 input / $0.87 output per million tokens (official Xiaomi API price). Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers); Command A Plus costs $2.50 input / $10.00 output per million tokens (official Cohere API price). 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 $3.42 for Kimi K2.7 Code Highspeed (6.3× as much) and $4.38 for Command A Plus (8× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Command A Plus has not been scored yet, Kimi K2.7 Code Highspeed has not been scored yet and MiMo-V2.5-Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Command A Plus, Kimi K2.7 Code Highspeed and MiMo-V2.5-Pro 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 has the largest context window at 1,048,576 tokens, against 262,144 for Kimi K2.7 Code Highspeed and 128,000 for Command A Plus. Maximum output per response: Command A Plus up to 64,000, Kimi K2.7 Code Highspeed up to 262,144, MiMo-V2.5-Pro up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Command A Plus accepts text and images; Kimi K2.7 Code Highspeed accepts text, images and video; MiMo-V2.5-Pro accepts text. Kimi K2.7 Code Highspeed handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. Command A Plus came out May 20, 2026; MiMo-V2.5-Pro came out Apr 22, 2026. Knowledge cutoff: Command A Plus Apr 1, 2025, Kimi K2.7 Code Highspeed Jan 2025, MiMo-V2.5-Pro Dec 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.
