Mixtral 8x22B Instruct vs Fugu Max
| Signal | Mixtral 8x22B Instruct | Delta | Fugu Max |
|---|---|---|---|
Capabilities | 50 | -50 | |
Benchmarks | 71 | +71 | |
Pricing | 94 | -- | |
Context window size | 76 | -19 | |
Recency | 0 | -100 | |
Output Capacity | 75 | -6 | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
63.4
current score
Mixtral 8x22B Instruct
right now
40
current score
Mixtral 8x22B Instruct
Mistral AI
Fugu Max
sakana
| Metric | Mixtral 8x22B Instruct | Fugu Max | Winner |
|---|---|---|---|
| Overall Score | 63 | 40 | Mixtral 8x22B Instruct |
| Rank | #203 | #246 | Mixtral 8x22B Instruct |
| Quality Rank | #203 | #246 | Mixtral 8x22B Instruct |
| Adoption Rank | #203 | #246 | Mixtral 8x22B Instruct |
| Parameters | 22B | -- | -- |
| Context Window | 66K | 1000K | Fugu Max |
| Pricing | $2.00/$6.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 100 | Fugu Max |
| Benchmarks | 71 | -- | Mixtral 8x22B Instruct |
| Pricing | 94 | 94 | Mixtral 8x22B Instruct |
| Context window size | 76 | 95 | Fugu Max |
| Recency | 0 | 100 | Fugu Max |
| Output Capacity | 75 | 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 63/100 (rank #203), placing it in the top 30% of all 290 models tracked.
Scores 40/100 (rank #246), placing it in the top 16% of all 290 models tracked.
Mixtral 8x22B Instruct has a 23-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Mixtral 8x22B Instruct when you need:
- Self-hosted deployments where you need full control over the model
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. Mixtral 8x22B Instruct 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 (63/100) 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
Mixtral 8x22B Instruct clearly outperforms Fugu Max with a significant 23.4-point lead. For most general use cases, Mixtral 8x22B Instruct is the stronger choice. However, Fugu Max may still excel in niche scenarios.
By Use Case
Best for Quality
Mixtral 8x22B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Mixtral 8x22B Instruct
0% lower pricing; better value at scale
Best for Reliability
Mixtral 8x22B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Mixtral 8x22B Instruct
Stronger community support and better developer experience
Best for Production
Mixtral 8x22B Instruct
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 | Mixtral 8x22B Instruct | Fugu Max |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Mixtral 8x22B Instruct
Mistral AI
Fugu Max
sakana
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Mixtral 8x22B Instruct | Fugu Max |
|---|---|---|
| Context Window | 66K | 1M |
| Max Output Tokens | 52,428 | 128,000 |
| Open Source | Yes | No |
| Created | Apr 17, 2024 | Sep 11, 2026 |