| Signal | Mixtral 8x22B Instruct | Delta | R1 |
|---|---|---|---|
Capabilities | 50 | -- | |
Benchmarks | 71 | -2 | |
Pricing | 94 | -3 | |
Context window size | 76 | +0 | |
Recency | 0 | -46 | |
Output Capacity | 20 | -50 | |
| Overall Result | 1 wins | of 6 | 4 wins |
Score History
63.4
current score
R1
right now
73
current score
Mistral AI
DeepSeek
R1 saves you $305.00/month
That's $3660.00/year compared to Mixtral 8x22B Instruct at your current usage level of 100K calls/month.
| Metric | Mixtral 8x22B Instruct | R1 | Winner |
|---|---|---|---|
| Overall Score | 63 | 73 | R1 |
| Rank | #140 | #76 | R1 |
| Quality Rank | #140 | #76 | R1 |
| Adoption Rank | #140 | #76 | R1 |
| Parameters | 22B | -- | -- |
| Context Window | 66K | 64K | Mixtral 8x22B Instruct |
| Pricing | $2.00/$6.00/M | $0.70/$2.50/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | Mixtral 8x22B Instruct |
| Benchmarks | 71 | 73 | R1 |
| Pricing | 94 | 98 | R1 |
| Context window size | 76 | 76 | Mixtral 8x22B Instruct |
| Recency | 0 | 46 | R1 |
| Output Capacity | 20 | 70 | R1 |
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 #140), placing it in the top 52% of all 290 models tracked.
Scores 73/100 (rank #76), placing it in the top 74% of all 290 models tracked.
R1 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
R1 offers 60% better value per quality point. At 1M tokens/day, you'd spend $48.00/month with R1 vs $120.00/month with Mixtral 8x22B Instruct - a $72.00 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. R1 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (66K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.50/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (73/100) correlates with better nuance, coherence, and style in long-form content
R1 has a moderate advantage with a 9.600000000000001-point lead in composite score. It wins on more signal dimensions, but Mixtral 8x22B Instruct has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Mixtral 8x22B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
R1
60% 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
| Capability | Mixtral 8x22B Instruct | R1 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Modediffers | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Mistral AI
DeepSeek
R1 saves you $6.54/month
That's 61% cheaper than Mixtral 8x22B Instruct 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 | Mixtral 8x22B Instruct | R1 |
|---|---|---|
| Context Window | 66K | 64K |
| Max Output Tokens | -- | 16,000 |
| Open Source | Yes | Yes |
| Created | Apr 17, 2024 | Jan 20, 2025 |