Command A Plus vs Kimi K2.7 Code Highspeed vs Kimi K3
Too close to call on our weighted score (Kimi K2.7 Code Highspeed 44, Kimi K3 43, Command A Plus 35). The right pick depends on what you value most.
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
- Moonshot AI
Kimi K3
43/100- ECI157.6
- Price$3.00 / $15.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within a point (Kimi K2.7 Code Highspeed 44/100, Kimi K3 43/100, Command A Plus 35/100), so choose by what matters most for your work: Kimi K2.7 Code Highspeed on price and Kimi K3 for long inputs. 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 · Command A Plus $4.38 · Kimi K3 $6.00 per 1M tokens (3:1 blend)
- Longest contextKimi K3Kimi K3 1,048,576 · Kimi K2.7 Code Highspeed 262,144 · Command A Plus 128,000 tokens
- Widest inputsKimi K2.7 Code Highspeed and Kimi K3Command A Plus: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video · Kimi K3: Text, Images, Video
- 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 | Kimi K3 |
|---|---|---|---|---|
| Price | 50% | 19 | 25 | 13 |
| Inputs & features | 30% | 70 | 80 | 80 |
| Context window | 20% | 24 | 37 | 61 |
| Overall | 100% | 35/100 | 44/100 | 43/100 |
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 | Kimi K3Moonshot AI |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | 157.6 |
| ECI rank | — | — | #13 of 148 |
| GPQA DiamondGraduate-level science questions | — | — | 93.1% |
| FrontierMath Tiers 1–3Research-level mathematics | — | — | 72.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | — | 97.2% |
| SimpleQA VerifiedShort factual questions | — | — | 50.6% |
| Price per million tokens | |||
| Input | $2.50 | $1.90 (best) | $3.00 |
| Output | $10.00 | $8.00 (best) | $15.00 |
| Cached input | — | — | $0.30 |
| Blended (3:1) | $4.38 | $3.42 (best) | $6.00 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Cohere API | Median of 11 providers | Official Moonshot AI 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 | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | Yes | Yes |
| Reasoning | Yes | Yes | Yeslow · high · max |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | Yes |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | command-a-plus-05-2026 | — | kimi-k3 |
| API providers | 1 | 11 | 68 (best) |
| Released | May 20, 2026 | Jun 12, 2026 | Jul 16, 2026 |
| Knowledge cutoff | Apr 1, 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.
- Command A Plus$45.00
- Kimi K2.7 Code Highspeed$35.00
- Kimi K3$60.00
Which should you choose?
Which is better: Command A Plus, Kimi K2.7 Code Highspeed or Kimi K3?
It is close. Our weighted score puts them within a point (Kimi K2.7 Code Highspeed 44/100, Kimi K3 43/100, Command A Plus 35/100), so choose by what matters most for your work: Kimi K2.7 Code Highspeed on price and Kimi K3 for long inputs. 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 Kimi K3?
Kimi K2.7 Code Highspeed is cheaper at $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); Kimi K3 costs $3.00 input / $15.00 output per million tokens (official Moonshot AI API price). 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 $4.38 for Command A Plus (1.3× as much) and $6.00 for Kimi K3 (1.8× 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 Kimi K3 has an ECI of 157.6.
Which is better for coding?
There are no published SWE-bench Verified results for Command A Plus, Kimi K2.7 Code Highspeed and Kimi K3 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 K3 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, Kimi K3 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; Kimi K3 accepts text, images and video. 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 K3 is the newest, released Jul 16, 2026. Kimi K2.7 Code Highspeed came out Jun 12, 2026; Command A Plus came out May 20, 2026. Knowledge cutoff: Command A Plus Apr 1, 2025, 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.
