Mistral Large vs Mistral Large 2407
| Signal | Mistral Large | Delta | Mistral Large 2407 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 69 | +14 | |
Pricing | 94 | -- | |
Context window size | 73 | 0 | |
Recency | 0 | -23 | |
Output Capacity | 20 | -- | |
| Overall Result | 1 wins | of 6 | 2 wins |
Score History
66.3
current score
Tied
right now
66.3
current score
Mistral Large
Mistral AI
Mistral Large 2407
Mistral AI
| Metric | Mistral Large | Mistral Large 2407 | Winner |
|---|---|---|---|
| Overall Score | 66 | 66 | -- |
| Rank | #126 | #125 | Mistral Large 2407 |
| Quality Rank | #126 | #125 | Mistral Large 2407 |
| Adoption Rank | #126 | #125 | Mistral Large 2407 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 131K | Mistral Large 2407 |
| Pricing | $2.00/$6.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Mistral Large |
| Benchmarks | 69 | 55 | Mistral Large |
| Pricing | 94 | 94 | Mistral Large |
| Context window size | 73 | 73 | Mistral Large 2407 |
| Recency | 0 | 23 | Mistral Large 2407 |
| Output Capacity | 20 | 20 | Mistral Large |
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 #126), placing it in the top 57% of all 290 models tracked.
Scores 66/100 (rank #125), placing it in the top 57% of all 290 models tracked.
With only a 0-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.
Choose Mistral Large when you need:
- Budget-friendly applications with moderate quality requirements
Choose Mistral Large 2407 when you need:
- Budget-friendly applications with moderate quality requirements
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
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 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 (66/100) correlates with better nuance, coherence, and style in long-form content
Mistral Large and Mistral Large 2407 are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
Mistral Large
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large
0% 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 Cost - 0% 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 | Mistral Large 2407 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral Large
Mistral AI
Mistral Large 2407
Mistral AI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Mistral Large | Mistral Large 2407 |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | -- | -- |
| Open Source | No | No |
| Created | Feb 26, 2024 | Nov 19, 2024 |