| Signal | GPT-3.5 Turbo (older v0613) | Delta | Mixtral 8x22B Instruct |
|---|---|---|---|
Capabilities | 50 | -- | |
Pricing | 2 | -4 | |
Context window size | 57 | -19 | |
Recency | 0 | -3 | |
Output Capacity | 60 | +40 | |
| Overall Result | 1 wins | of 5 | 3 wins |
15
days higher
4
days
11
days higher
OpenAI
Mistral AI
GPT-3.5 Turbo (older v0613) saves you $300.00/month
That's $3600.00/year compared to Mixtral 8x22B Instruct at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo (older v0613) | Mixtral 8x22B Instruct | Winner |
|---|---|---|---|
| Overall Score | 38 | 37 | GPT-3.5 Turbo (older v0613) |
| Rank | #298 | #299 | GPT-3.5 Turbo (older v0613) |
| Quality Rank | #298 | #299 | GPT-3.5 Turbo (older v0613) |
| Adoption Rank | #298 | #299 | GPT-3.5 Turbo (older v0613) |
| Parameters | -- | 22B | -- |
| Context Window | 4K | 66K | Mixtral 8x22B Instruct |
| Pricing | $1.00/$2.00/M | $2.00/$6.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 50 | GPT-3.5 Turbo (older v0613) |
| Pricing | 2 | 6 | Mixtral 8x22B Instruct |
| Context window size | 57 | 76 | Mixtral 8x22B Instruct |
| Recency | 0 | 3 | Mixtral 8x22B Instruct |
| Output Capacity | 60 | 20 | GPT-3.5 Turbo (older v0613) |
Our composite score (0–100) combines six weighted signals: benchmark performance (25%), pricing efficiency (25%), context window size (15%), model recency (15%), output capacity (10%), and capability versatility (10%). Here's what the scores mean for these two models:
Scores 38/100 (rank #298), placing it in the top -2% of all 290 models tracked.
Scores 37/100 (rank #299), placing it in the top -3% of all 290 models tracked.
With only a 1-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.
GPT-3.5 Turbo (older v0613) offers 63% better value per quality point. At 1M tokens/day, you'd spend $45.00/month with GPT-3.5 Turbo (older v0613) vs $120.00/month with Mixtral 8x22B Instruct - a $75.00 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. GPT-3.5 Turbo (older v0613) 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 ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (38/100) correlates with better nuance, coherence, and style in long-form content
GPT-3.5 Turbo (older v0613) and Mixtral 8x22B Instruct are extremely close in overall performance (only 1.2999999999999972 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT-3.5 Turbo (older v0613)
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-3.5 Turbo (older v0613)
63% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo (older v0613)
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo (older v0613)
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo (older v0613)
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | GPT-3.5 Turbo (older v0613) | Mixtral 8x22B Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Mistral AI
GPT-3.5 Turbo (older v0613) saves you $6.60/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 | GPT-3.5 Turbo (older v0613) | Mixtral 8x22B Instruct |
|---|---|---|
| Context Window | 4K | 66K |
| Max Output Tokens | 4,096 | -- |
| Open Source | No | Yes |
| Created | Jan 25, 2024 | Apr 17, 2024 |
GPT-3.5 Turbo (older v0613) scores 38/100 (rank #298) compared to Mixtral 8x22B Instruct's 37/100 (rank #299), giving it a 1-point advantage. GPT-3.5 Turbo (older v0613) is the stronger overall choice, though Mixtral 8x22B Instruct may excel in specific areas like certain benchmarks.
GPT-3.5 Turbo (older v0613) is ranked #298 and Mixtral 8x22B Instruct is ranked #299 out of 290+ AI models. Rankings use a composite score combining benchmark performance (25%), pricing (25%), context window (15%), recency (15%), output capacity (10%), and versatility (10%). Scores update hourly.
GPT-3.5 Turbo (older v0613) is cheaper at $2.00/M output tokens vs Mixtral 8x22B Instruct's $6.00/M output tokens - 3.0x more expensive. Input token pricing: GPT-3.5 Turbo (older v0613) at $1.00/M vs Mixtral 8x22B Instruct at $2.00/M.
Mixtral 8x22B Instruct has a larger context window of 65,536 tokens compared to GPT-3.5 Turbo (older v0613)'s 4,095 tokens. A larger context window means the model can process longer documents and conversations.