| Signal | Command R+ (08-2024) | Delta | SWE-1.5 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 47 | +47 | |
Pricing | 10 | +10 | |
Context window size | 81 | +81 | |
Recency | 28 | -67 | |
Output Capacity | 60 | +40 | |
| Overall Result | 4 wins | of 6 | 1 wins |
5
days higher
2
days
23
days higher
Cohere
Windsurf
SWE-1.5 saves you $750.00/month
That's $9000.00/year compared to Command R+ (08-2024) at your current usage level of 100K calls/month.
| Metric | Command R+ (08-2024) | SWE-1.5 | Winner |
|---|---|---|---|
| Overall Score | 48 | 49 | SWE-1.5 |
| Rank | #274 | #273 | SWE-1.5 |
| Quality Rank | #274 | #273 | SWE-1.5 |
| Adoption Rank | #274 | #273 | SWE-1.5 |
| Parameters | -- | -- | -- |
| Context Window | 128K | -- | -- |
| Pricing | $2.50/$10.00/M | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Command R+ (08-2024) |
| Benchmarks | 47 | -- | Command R+ (08-2024) |
| Pricing | 10 | 0 | Command R+ (08-2024) |
| Context window size | 81 | 0 | Command R+ (08-2024) |
| Recency | 28 | 95 | SWE-1.5 |
| Output Capacity | 60 | 20 | Command R+ (08-2024) |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 48/100 (rank #274), placing it in the top 6% of all 290 models tracked.
Scores 49/100 (rank #273), placing it in the top 6% 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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. SWE-1.5 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (49/100) correlates with better nuance, coherence, and style in long-form content
Command R+ (08-2024) and SWE-1.5 are extremely close in overall performance (only 1.2999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Command R+ (08-2024)
Marginally better benchmark scores; both are excellent
Best for Cost
SWE-1.5
100% 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) | SWE-1.5 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Cohere
Windsurf
SWE-1.5 saves you $16.50/month
That's 100% cheaper than Command R+ (08-2024) 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) | SWE-1.5 |
|---|---|---|
| Context Window | 128K | -- |
| Max Output Tokens | 4,000 | -- |
| Open Source | No | No |
| Created | Aug 30, 2024 | Sep 1, 2025 |
SWE-1.5 scores 49/100 (rank #273) compared to Command R+ (08-2024)'s 48/100 (rank #274), giving it a 1-point advantage. SWE-1.5 is the stronger overall choice, though Command R+ (08-2024) may excel in specific areas like certain benchmarks.
Command R+ (08-2024) is ranked #274 and SWE-1.5 is ranked #273 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
SWE-1.5 is cheaper at $0.00/M output tokens vs Command R+ (08-2024)'s $10.00/M output tokens - 10000.0x more expensive. Input token pricing: Command R+ (08-2024) at $2.50/M vs SWE-1.5 at $0.00/M.
Context window information is available on the individual model pages.