| Signal | Command R (08-2024) | Delta | Qwen3.7 Max |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 47 | +47 | |
Pricing | 99 | +3 | |
Context window size | 73 | -13 | |
Recency | 12 | -88 | |
Output Capacity | 60 | -20 | |
| Overall Result | 2 wins | of 6 | 4 wins |
Score History
48.3
current score
Command R (08-2024)
right now
40
current score
Cohere
Alibaba
Command R (08-2024) saves you $267.50/month
That's $3210.00/year compared to Qwen3.7 Max at your current usage level of 100K calls/month.
| Metric | Command R (08-2024) | Qwen3.7 Max | Winner |
|---|---|---|---|
| Overall Score | 48 | 40 | Command R (08-2024) |
| Rank | #162 | #178 | Command R (08-2024) |
| Quality Rank | #162 | #178 | Command R (08-2024) |
| Adoption Rank | #162 | #178 | Command R (08-2024) |
| Parameters | -- | -- | -- |
| Context Window | 128K | 1000K | Qwen3.7 Max |
| Pricing | $0.15/$0.60/M | $1.25/$3.75/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen3.7 Max |
| Benchmarks | 47 | -- | Command R (08-2024) |
| Pricing | 99 | 96 | Command R (08-2024) |
| Context window size | 73 | 86 | Qwen3.7 Max |
| Recency | 12 | 100 | Qwen3.7 Max |
| Output Capacity | 60 | 80 | Qwen3.7 Max |
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 48/100 (rank #162), placing it in the top 44% of all 290 models tracked.
Scores 40/100 (rank #178), placing it in the top 39% of all 290 models tracked.
Command R (08-2024) has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Command R (08-2024) offers 85% better value per quality point. At 1M tokens/day, you'd spend $11.25/month with Command R (08-2024) vs $75.00/month with Qwen3.7 Max - a $63.75 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. Command R (08-2024) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.60/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (48/100) correlates with better nuance, coherence, and style in long-form content
Command R (08-2024) has a moderate advantage with a 8.299999999999997-point lead in composite score. It wins on more signal dimensions, but Qwen3.7 Max has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Command R (08-2024)
Marginally better benchmark scores; both are excellent
Best for Cost
Command R (08-2024)
85% lower pricing; better value at scale
Best for Reliability
Command R (08-2024)
Higher uptime and faster response speeds
Best for Prototyping
Command R (08-2024)
Stronger community support and better developer experience
Best for Production
Command R (08-2024)
Wider enterprise adoption and proven at scale
by Cohere
| Capability | Command R (08-2024) | Qwen3.7 Max |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Cohere
Alibaba
Command R (08-2024) saves you $5.76/month
That's 85% cheaper than Qwen3.7 Max 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 R (08-2024) | Qwen3.7 Max |
|---|---|---|
| Context Window | 128K | 1M |
| Max Output Tokens | 4,000 | 65,536 |
| Open Source | No | No |
| Created | Aug 30, 2024 | May 21, 2026 |