Mistral Large 3 2512 (batch) vs R1 0528
| Signal | Mistral Large 3 2512 (batch) | Delta | R1 0528 |
|---|---|---|---|
Capabilities | 67 | -- | |
Benchmarks | 68 | -13 | |
Pricing | 99 | +1 | |
Context window size | 86 | +3 | |
Recency | 79 | +34 | |
Output Capacity | 85 | +13 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
67
current score
R1 0528
right now
79.4
current score
Mistral Large 3 2512 (batch)
Mistral AI
R1 0528
DeepSeek
Mistral Large 3 2512 (batch) saves you $95.00/month
That's $1140.00/year compared to R1 0528 at your current usage level of 100K calls/month.
| Metric | Mistral Large 3 2512 (batch) | R1 0528 | Winner |
|---|---|---|---|
| Overall Score | 67 | 79 | R1 0528 |
| Rank | #183 | #88 | R1 0528 |
| Quality Rank | #183 | #88 | R1 0528 |
| Adoption Rank | #183 | #88 | R1 0528 |
| Parameters | -- | -- | -- |
| Context Window | 262K | 164K | Mistral Large 3 2512 (batch) |
| Pricing | $0.25/$0.75/M | $0.50/$2.15/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 67 | Mistral Large 3 2512 (batch) |
| Benchmarks | 68 | 81 | R1 0528 |
| Pricing | 99 | 98 | Mistral Large 3 2512 (batch) |
| Context window size | 86 | 83 | Mistral Large 3 2512 (batch) |
| Recency | 79 | 45 | Mistral Large 3 2512 (batch) |
| Output Capacity | 85 | 72 | Mistral Large 3 2512 (batch) |
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 67/100 (rank #183), placing it in the top 37% of all 290 models tracked.
Scores 79/100 (rank #88), placing it in the top 70% of all 290 models tracked.
R1 0528 has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Choose Mistral Large 3 2512 (batch) when you need:
- High-volume production workloads where API costs must be minimized
- Processing long documents or large codebases (262K token context)
- Multimodal workflows that require image understanding
Choose R1 0528 when you need:
- Step-by-step reasoning and chain-of-thought problem solving
- Self-hosted deployments where you need full control over the model
Mistral Large 3 2512 (batch) offers 62% better value per quality point. At 1M tokens/day, you'd spend $15.00/month with Mistral Large 3 2512 (batch) vs $39.75/month with R1 0528 - a $24.75 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. Mistral Large 3 2512 (batch) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.75/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (79/100) correlates with better nuance, coherence, and style in long-form content
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
R1 0528 clearly outperforms Mistral Large 3 2512 (batch) with a significant 12.400000000000006-point lead. For most general use cases, R1 0528 is the stronger choice. However, Mistral Large 3 2512 (batch) may still excel in niche scenarios.
By Use Case
Best for Quality
Mistral Large 3 2512 (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large 3 2512 (batch)
62% lower pricing; better value at scale
Best for Reliability
Mistral Large 3 2512 (batch)
Higher uptime and faster response speeds
Best for Prototyping
Mistral Large 3 2512 (batch)
Stronger community support and better developer experience
Best for Production
Mistral Large 3 2512 (batch)
Wider enterprise adoption and proven at scale
by Mistral AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 62% lower pricing; better value at scale
- 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 3 2512 (batch) | R1 0528 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral Large 3 2512 (batch)
Mistral AI
R1 0528
DeepSeek
Mistral Large 3 2512 (batch) saves you $2.13/month
That's 61% cheaper than R1 0528 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 3 2512 (batch) | R1 0528 |
|---|---|---|
| Context Window | 262K | 164K |
| Max Output Tokens | 209,715 | 32,768 |
| Open Source | No | Yes |
| Created | Dec 1, 2025 | May 28, 2025 |