Battle of the Models
Compare specific LLM models, context windows, and capabilities.
DeepSeek-R1
S-TIERChutes.ai
Mixtral 8x22B Instruct
A-TIERDeepInfra
DeepSeek-R1 Wins
With an intelligence score of 97/100 vs 89/100, DeepSeek-R1 outperforms Mixtral 8x22B Instruct by 8 points.
Detailed Comparison
| Feature |
DeepSeek-R1
|
Mixtral 8x22B Instruct
|
|---|---|---|
|
Context Window
|
64K | 64K |
|
Architecture
|
Dense Transformer | Mixture of Experts (MoE) |
|
Est. MMLU Score
|
~92-95% | ~80-84% |
|
Release Date
|
Jan 2025 | 2024 |
|
Pricing Model
|
Free Tier | Paid / Commercial |
|
Rate Limit (RPM)
|
Varies (community capacity) | 60 RPM (varies by model) |
|
Daily Limit
|
Subject to availability | Credit-based (no daily cap) |
|
Capabilities
|
Reasoning
|
Reasoning
Multilingual
|
|
Performance Tier
|
S-Tier (Elite) | A-Tier (Excellent) |
|
Speed Estimate
|
🐢 Slower (Reasoning) | Medium |
|
Primary Use Case
|
🧠 Complex Reasoning | General Purpose |
|
Model Size
|
Undisclosed | 22B |
|
Limitations
|
|
|
|
Key Strengths
|
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