Mistral Large 2407 vs Fugu Max
| Signal | Mistral Large 2407 | Delta | Fugu Max |
|---|---|---|---|
Capabilities | 50 | -50 | |
Benchmarks | 55 | +55 | |
Pricing | 94 | -- | |
Context window size | 81 | -14 | |
Recency | 10 | -90 | |
Output Capacity | 80 | -1 | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
65.9
current score
Mistral Large 2407
right now
40
current score
Mistral Large 2407
Mistral AI
Fugu Max
sakana
| Metric | Mistral Large 2407 | Fugu Max | Winner |
|---|---|---|---|
| Overall Score | 66 | 40 | Mistral Large 2407 |
| Rank | #190 | #248 | Mistral Large 2407 |
| Quality Rank | #190 | #248 | Mistral Large 2407 |
| Adoption Rank | #190 | #248 | Mistral Large 2407 |
| Parameters | -- | -- | -- |
| Context Window | 131K | 1000K | Fugu Max |
| Pricing | $2.00/$6.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 100 | Fugu Max |
| Benchmarks | 55 | -- | Mistral Large 2407 |
| Pricing | 94 | 94 | Mistral Large 2407 |
| Context window size | 81 | 95 | Fugu Max |
| Recency | 10 | 100 | Fugu Max |
| Output Capacity | 80 | 82 | Fugu Max |
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 #190), placing it in the top 35% of all 290 models tracked.
Scores 40/100 (rank #248), placing it in the top 15% of all 290 models tracked.
Mistral Large 2407 has a 26-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Mistral Large 2407 when you need:
- Budget-friendly applications with moderate quality requirements
Choose Fugu Max when you need:
- Processing long documents or large codebases (1000K token context)
- Multimodal workflows that require image understanding
- Step-by-step reasoning and chain-of-thought problem solving
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 2407 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (1000K 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
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Mistral Large 2407 clearly outperforms Fugu Max with a significant 25.900000000000006-point lead. For most general use cases, Mistral Large 2407 is the stronger choice. However, Fugu Max may still excel in niche scenarios.
By Use Case
Best for Quality
Mistral Large 2407
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Large 2407
0% 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
- 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 2407 | Fugu Max |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Mistral Large 2407
Mistral AI
Fugu Max
sakana
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Mistral Large 2407 | Fugu Max |
|---|---|---|
| Context Window | 131K | 1M |
| Max Output Tokens | 104,857 | 128,000 |
| Open Source | No | No |
| Created | Nov 19, 2024 | Sep 11, 2026 |