Mistral Large vs R1
| Signal | Mistral Large | Delta | R1 |
|---|---|---|---|
Capabilities | 50 | -17 | |
Benchmarks | 68 | -5 | |
Pricing | 94 | -3 | |
Context window size | 81 | -2 | |
Recency | 0 | -30 | |
Output Capacity | 20 | -50 | |
| Overall Result | 0 wins | of 6 | 6 wins |
Score History
65.9
current score
R1
right now
74.2
current score
Mistral Large
Mistral AI
R1
DeepSeek
R1 saves you $305.00/month
That's $3660.00/year compared to Mistral Large at your current usage level of 100K calls/month.
| Metric | Mistral Large | R1 | Winner |
|---|---|---|---|
| Overall Score | 66 | 74 | R1 |
| Rank | #185 | #134 | R1 |
| Quality Rank | #185 | #134 | R1 |
| Adoption Rank | #185 | #134 | R1 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 164K | R1 |
| Pricing | $2.00/$6.00/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | R1 |
| Benchmarks | 68 | 73 | R1 |
| Pricing | 94 | 98 | R1 |
| Context window size | 81 | 83 | R1 |
| Recency | 0 | 30 | 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 66/100 (rank #185), placing it in the top 37% of all 290 models tracked.
Scores 74/100 (rank #134), placing it in the top 54% of all 290 models tracked.
R1 has a 8-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose Mistral Large when you need:
- Budget-friendly applications with moderate quality requirements
Choose R1 when you need:
- High-volume production workloads where API costs must be minimized
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
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 - 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 has a moderate advantage with a 8.299999999999997-point lead in composite score. It wins on more signal dimensions, but Mistral Large has specific strengths that could make it the better choice for certain workflows.
By Use Case
Best for Quality
Mistral Large
Marginally better benchmark scores; both are excellent
Best for Cost
R1
60% lower pricing; better value at scale
Best for Reliability
Mistral Large
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large
Stronger community support and better developer experience
Best for Production
Mistral Large
Wider enterprise adoption and proven at scale
by Mistral AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | Mistral Large | R1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral Large
Mistral AI
R1
DeepSeek
R1 saves you $6.54/month
That's 61% cheaper than Mistral Large 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 | R1 |
|---|---|---|
| Context Window | 128K | 164K |
| Max Output Tokens | -- | 16,000 |
| Open Source | No | Yes |
| Created | Feb 26, 2024 | Jan 20, 2025 |