| Signal | GPT-4o (extended) | Delta | Mixtral 8x22B Instruct |
|---|---|---|---|
Capabilities | 67 | +17 | |
Pricing | 18 | +12 | |
Context window size | 81 | +5 | |
Recency | 7 | +5 | |
Output Capacity | 80 | +60 | |
| Overall Result | 5 wins | of 5 | 0 wins |
10
days higher
4
days
16
days higher
OpenAI
Mistral AI
Mixtral 8x22B Instruct saves you $1000.00/month
That's $12000.00/year compared to GPT-4o (extended) at your current usage level of 100K calls/month.
| Metric | GPT-4o (extended) | Mixtral 8x22B Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #291 | #292 | GPT-4o (extended) |
| Quality Rank | #291 | #292 | GPT-4o (extended) |
| Adoption Rank | #291 | #292 | GPT-4o (extended) |
| Parameters | -- | 22B | -- |
| Context Window | 128K | 66K | GPT-4o (extended) |
| Pricing | $6.00/$18.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-4o (extended) |
| Pricing | 18 | 6 | GPT-4o (extended) |
| Context window size | 81 | 76 | GPT-4o (extended) |
| Recency | 7 | 3 | GPT-4o (extended) |
| Output Capacity | 80 | 20 | GPT-4o (extended) |
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%). Here's what the scores mean for these two models:
Scores 40/100 (rank #291), placing it in the top 0% of all 290 models tracked.
Scores 40/100 (rank #292), placing it in the top 0% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Mixtral 8x22B Instruct offers 67% better value per quality point. At 1M tokens/day, you'd spend $120.00/month with Mixtral 8x22B Instruct vs $360.00/month with GPT-4o (extended) - a $240.00 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
Higher benchmark score (0/100) indicates stronger performance on coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Faster response time (speed score 0/100) is critical for user-facing chat. Mixtral 8x22B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (128K 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 (40/100) 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
GPT-4o (extended) and Mixtral 8x22B Instruct are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-4o (extended)
Marginally better benchmark scores; both are excellent
Best for Cost
Mixtral 8x22B Instruct
67% lower pricing; better value at scale
Best for Reliability
GPT-4o (extended)
Higher uptime and faster response speeds
Best for Prototyping
GPT-4o (extended)
Stronger community support and better developer experience
Best for Production
GPT-4o (extended)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-4o (extended) | Mixtral 8x22B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Mistral AI
Mixtral 8x22B Instruct saves you $21.60/month
That's 67% cheaper than GPT-4o (extended) 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 | GPT-4o (extended) | Mixtral 8x22B Instruct |
|---|---|---|
| Context Window | 128K | 66K |
| Max Output Tokens | 64,000 | -- |
| Open Source | No | Yes |
| Created | May 13, 2024 | Apr 17, 2024 |
Both GPT-4o (extended) and Mixtral 8x22B Instruct score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
GPT-4o (extended) is ranked #291 and Mixtral 8x22B Instruct is ranked #292 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Mixtral 8x22B Instruct is cheaper at $6.00/M output tokens vs GPT-4o (extended)'s $18.00/M output tokens - 3.0x more expensive. Input token pricing: GPT-4o (extended) at $6.00/M vs Mixtral 8x22B Instruct at $2.00/M.
GPT-4o (extended) has a larger context window of 128,000 tokens compared to Mixtral 8x22B Instruct's 65,536 tokens. A larger context window means the model can process longer documents and conversations.