| Signal | Command R+ (08-2024) | Delta | Mistral Large 2411 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 47 | +47 | |
Pricing | 10 | +4 | |
Context window size | 81 | 0 | |
Recency | 28 | -15 | |
Output Capacity | 60 | +40 | |
| Overall Result | 3 wins | of 6 | 2 wins |
4
days higher
2
days
24
days higher
Cohere
Mistral AI
Mistral Large 2411 saves you $250.00/month
That's $3000.00/year compared to Command R+ (08-2024) at your current usage level of 100K calls/month.
| Metric | Command R+ (08-2024) | Mistral Large 2411 | Winner |
|---|---|---|---|
| Overall Score | 48 | 50 | Mistral Large 2411 |
| Rank | #274 | #272 | Mistral Large 2411 |
| Quality Rank | #274 | #272 | Mistral Large 2411 |
| Adoption Rank | #274 | #272 | Mistral Large 2411 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 131K | Mistral Large 2411 |
| Pricing | $2.50/$10.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Command R+ (08-2024) |
| Benchmarks | 47 | -- | Command R+ (08-2024) |
| Pricing | 10 | 6 | Command R+ (08-2024) |
| Context window size | 81 | 81 | Mistral Large 2411 |
| Recency | 28 | 43 | Mistral Large 2411 |
| 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 50/100 (rank #272), placing it in the top 7% of all 290 models tracked.
With only a 2-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.
Mistral Large 2411 offers 36% better value per quality point. At 1M tokens/day, you'd spend $120.00/month with Mistral Large 2411 vs $187.50/month with Command R+ (08-2024) - a $67.50 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
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. Mistral Large 2411 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($6.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (50/100) correlates with better nuance, coherence, and style in long-form content
Command R+ (08-2024) and Mistral Large 2411 are extremely close in overall performance (only 2 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
Mistral Large 2411
36% 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
by Mistral AI
| Capability | Command R+ (08-2024) | Mistral Large 2411 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Cohere
Mistral AI
Mistral Large 2411 saves you $5.70/month
That's 35% 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) | Mistral Large 2411 |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 4,000 | -- |
| Open Source | No | No |
| Created | Aug 30, 2024 | Nov 19, 2024 |
Mistral Large 2411 scores 50/100 (rank #272) compared to Command R+ (08-2024)'s 48/100 (rank #274), giving it a 2-point advantage. Mistral Large 2411 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 Mistral Large 2411 is ranked #272 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.
Mistral Large 2411 is cheaper at $6.00/M output tokens vs Command R+ (08-2024)'s $10.00/M output tokens - 1.7x more expensive. Input token pricing: Command R+ (08-2024) at $2.50/M vs Mistral Large 2411 at $2.00/M.
Mistral Large 2411 has a larger context window of 131,072 tokens compared to Command R+ (08-2024)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.