| Signal | Command A | Delta | Kimi K2 0711 |
|---|---|---|---|
Capabilities | 33 | -- | |
Benchmarks | 51 | +0 | |
Pricing | 90 | -8 | |
Context window size | 77 | +4 | |
Recency | 53 | -22 | |
Output Capacity | 65 | -10 | |
| Overall Result | 2 wins | of 6 | 3 wins |
Score History
50.4
current score
Kimi K2 0711
right now
51
current score
Cohere
Moonshot AI
Kimi K2 0711 saves you $578.00/month
That's $6936.00/year compared to Command A at your current usage level of 100K calls/month.
| Metric | Command A | Kimi K2 0711 | Winner |
|---|---|---|---|
| Overall Score | 50 | 51 | Kimi K2 0711 |
| Rank | #169 | #168 | Kimi K2 0711 |
| Quality Rank | #169 | #168 | Kimi K2 0711 |
| Adoption Rank | #169 | #168 | Kimi K2 0711 |
| Parameters | -- | -- | -- |
| Context Window | 256K | 131K | Command A |
| Pricing | $2.50/$10.00/M | $0.57/$2.30/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 33 | Command A |
| Benchmarks | 51 | 51 | Command A |
| Pricing | 90 | 98 | Kimi K2 0711 |
| Context window size | 77 | 73 | Command A |
| Recency | 53 | 74 | Kimi K2 0711 |
| Output Capacity | 65 | 75 | Kimi K2 0711 |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 50/100 (rank #169), placing it in the top 42% of all 290 models tracked.
Scores 51/100 (rank #168), placing it in the top 42% of all 290 models tracked.
With only a 1-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Kimi K2 0711 offers 77% better value per quality point. At 1M tokens/day, you'd spend $43.05/month with Kimi K2 0711 vs $187.50/month with Command A - a $144.45 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. Kimi K2 0711 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (256K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.30/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (51/100) correlates with better nuance, coherence, and style in long-form content
Command A and Kimi K2 0711 are extremely close in overall performance (only 0.6000000000000014 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Command A
Marginally better benchmark scores; both are excellent
Best for Cost
Kimi K2 0711
77% lower pricing; better value at scale
Best for Reliability
Command A
Higher uptime and faster response speeds
Best for Prototyping
Command A
Stronger community support and better developer experience
Best for Production
Command A
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command A | Kimi K2 0711 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
Moonshot AI
Kimi K2 0711 saves you $12.71/month
That's 77% cheaper than Command A at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Command A | Kimi K2 0711 |
|---|---|---|
| Context Window | 256K | 131K |
| Max Output Tokens | 8,192 | 32,768 |
| Open Source | Yes | Yes |
| Created | Mar 13, 2025 | Jul 11, 2025 |