| Signal | Grok 3 | Delta | Mixtral 8x22B Instruct |
|---|---|---|---|
Capabilities | 67 | +17 | |
Benchmarks | 73 | +3 | |
Pricing | 85 | -9 | |
Context window size | 81 | +5 | |
Recency | 72 | +72 | |
Output Capacity | 20 | -- | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
73.5
current score
Grok 3
right now
63.4
current score
xAI
Mistral AI
Mixtral 8x22B Instruct saves you $550.00/month
That's $6600.00/year compared to Grok 3 at your current usage level of 100K calls/month.
| Metric | Grok 3 | Mixtral 8x22B Instruct | Winner |
|---|---|---|---|
| Overall Score | 74 | 63 | Grok 3 |
| Rank | #72 | #140 | Grok 3 |
| Quality Rank | #72 | #140 | Grok 3 |
| Adoption Rank | #72 | #140 | Grok 3 |
| Parameters | -- | 22B | -- |
| Context Window | 131K | 66K | Grok 3 |
| Pricing | $3.00/$15.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Grok 3 |
| Benchmarks | 73 | 71 | Grok 3 |
| Pricing | 85 | 94 | Mixtral 8x22B Instruct |
| Context window size | 81 | 76 | Grok 3 |
| Recency | 72 | 0 | Grok 3 |
| Output Capacity | 20 | 20 | Grok 3 |
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 74/100 (rank #72), placing it in the top 76% of all 290 models tracked.
Scores 63/100 (rank #140), placing it in the top 52% of all 290 models tracked.
Grok 3 has a 10-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Mixtral 8x22B Instruct offers 56% better value per quality point. At 1M tokens/day, you'd spend $120.00/month with Mixtral 8x22B Instruct vs $270.00/month with Grok 3 - a $150.00 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. Mixtral 8x22B Instruct 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 (74/100) correlates with better nuance, coherence, and style in long-form content
Grok 3 clearly outperforms Mixtral 8x22B Instruct with a significant 10.100000000000001-point lead. For most general use cases, Grok 3 is the stronger choice. However, Mixtral 8x22B Instruct may still excel in niche scenarios.
Best for Quality
Grok 3
Marginally better benchmark scores; both are excellent
Best for Cost
Mixtral 8x22B Instruct
56% lower pricing; better value at scale
Best for Reliability
Grok 3
Higher uptime and faster response speeds
Best for Prototyping
Grok 3
Stronger community support and better developer experience
Best for Production
Grok 3
Wider enterprise adoption and proven at scale
by xAI
| Capability | Grok 3 | Mixtral 8x22B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
xAI
Mistral AI
Mixtral 8x22B Instruct saves you $12.60/month
That's 54% cheaper than Grok 3 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 | Grok 3 | Mixtral 8x22B Instruct |
|---|---|---|
| Context Window | 131K | 66K |
| Max Output Tokens | -- | -- |
| Open Source | No | Yes |
| Created | Jun 10, 2025 | Apr 17, 2024 |