| Signal | GPT Audio | Delta | Mistral Medium 3.1 |
|---|---|---|---|
Capabilities | 33 | -33 | |
Pricing | 10 | +8 | |
Context window size | 81 | 0 | |
Recency | 100 | +8 | |
Output Capacity | 70 | +50 | |
| Overall Result | 3 wins | of 5 | 2 wins |
6
days ranked higher
1
days
23
days ranked higher
OpenAI
Mistral AI
Mistral Medium 3.1 saves you $610.00/month
That's $7320.00/year compared to GPT Audio at your current usage level of 100K calls/month.
| Metric | GPT Audio | Mistral Medium 3.1 | Winner |
|---|---|---|---|
| Overall Score | 68 | 70 | Mistral Medium 3.1 |
| Rank | #163 | #152 | Mistral Medium 3.1 |
| Quality Rank | #163 | #152 | Mistral Medium 3.1 |
| Adoption Rank | #163 | #152 | Mistral Medium 3.1 |
| Parameters | -- | -- | -- |
| Context Window | 128K | 131K | Mistral Medium 3.1 |
| Pricing | $2.50/$10.00/M | $0.40/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 67 | Mistral Medium 3.1 |
| Pricing | 10 | 2 | GPT Audio |
| Context window size | 81 | 81 | Mistral Medium 3.1 |
| Recency | 100 | 92 | GPT Audio |
| Output Capacity | 70 | 20 | GPT Audio |
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 68/100 (rank #163), placing it in the top 44% of all 290 models tracked.
Scores 70/100 (rank #152), placing it in the top 48% of all 290 models tracked.
With only a 2-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.
Mistral Medium 3.1 offers 81% better value per quality point. At 1M tokens/day, you'd spend $36.00/month with Mistral Medium 3.1 vs $187.50/month with GPT Audio - a $151.50 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. Mistral Medium 3.1 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 ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (70/100) 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 Audio and Mistral Medium 3.1 are extremely close in overall performance (only 1.6999999999999886 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
GPT Audio
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Medium 3.1
81% lower pricing; better value at scale
Best for Reliability
GPT Audio
Higher uptime and faster response speeds
Best for Prototyping
GPT Audio
Stronger community support and better developer experience
Best for Production
GPT Audio
Wider enterprise adoption and proven at scale
by OpenAI
by Mistral AI
| Capability | GPT Audio | Mistral Medium 3.1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Mistral AI
Mistral Medium 3.1 saves you $13.38/month
That's 81% cheaper than GPT Audio 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 Audio | Mistral Medium 3.1 |
|---|---|---|
| Context Window | 128K | 131K |
| Max Output Tokens | 16,384 | -- |
| Open Source | No | No |
| Created | Jan 19, 2026 | Aug 13, 2025 |
Mistral Medium 3.1 scores 70/100 (rank #152) compared to GPT Audio's 68/100 (rank #163), giving it a 2-point advantage. Mistral Medium 3.1 is the stronger overall choice, though GPT Audio may excel in specific areas like certain benchmarks.
GPT Audio is ranked #163 and Mistral Medium 3.1 is ranked #152 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.
Mistral Medium 3.1 is cheaper at $2.00/M output tokens vs GPT Audio's $10.00/M output tokens - 5.0x more expensive. Input token pricing: GPT Audio at $2.50/M vs Mistral Medium 3.1 at $0.40/M.
Mistral Medium 3.1 has a larger context window of 131,072 tokens compared to GPT Audio's 128,000 tokens. A larger context window means the model can process longer documents and conversations.