| Signal | Mistral Large 2407 | Delta | R1 |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 55 | -18 | |
Pricing | 94 | -3 | |
Context window size | 73 | -1 | |
Recency | 27 | -11 | |
Output Capacity | 20 | -50 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
55.8
current score
R1
right now
73.7
current score
Mistral AI
DeepSeek
R1 saves you $305.00/month
That's $3660.00/year compared to Mistral Large 2407 at your current usage level of 100K calls/month.
| Metric | Mistral Large 2407 | R1 | Winner |
|---|---|---|---|
| Overall Score | 56 | 74 | R1 |
| Rank | #148 | #76 | R1 |
| Quality Rank | #148 | #76 | R1 |
| Adoption Rank | #148 | #76 | R1 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 164K | R1 |
| Pricing | $2.00/$6.00/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | R1 |
| Benchmarks | 55 | 73 | R1 |
| Pricing | 94 | 98 | R1 |
| Context window size | 73 | 75 | R1 |
| Recency | 27 | 38 | R1 |
| Output Capacity | 20 | 70 | R1 |
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 56/100 (rank #148), placing it in the top 49% of all 290 models tracked.
Scores 74/100 (rank #76), placing it in the top 74% of all 290 models tracked.
R1 has a 18-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
R1 offers 60% better value per quality point. At 1M tokens/day, you'd spend $48.00/month with R1 vs $120.00/month with Mistral Large 2407 - a $72.00 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. R1 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (164K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (74/100) correlates with better nuance, coherence, and style in long-form content
R1 clearly outperforms Mistral Large 2407 with a significant 17.900000000000006-point lead. For most general use cases, R1 is the stronger choice. However, Mistral Large 2407 may still excel in niche scenarios.
Best for Quality
Mistral Large 2407
Marginally better benchmark scores; both are excellent
Best for Cost
R1
60% lower pricing; better value at scale
Best for Reliability
Mistral Large 2407
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large 2407
Stronger community support and better developer experience
Best for Production
Mistral Large 2407
Wider enterprise adoption and proven at scale
by Mistral AI
| Capability | Mistral Large 2407 | R1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
DeepSeek
R1 saves you $6.54/month
That's 61% cheaper than Mistral Large 2407 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 | Mistral Large 2407 | R1 |
|---|---|---|
| Context Window | 131K | 164K |
| Max Output Tokens | -- | 16,000 |
| Open Source | No | Yes |
| Created | Nov 19, 2024 | Jan 20, 2025 |