| Signal | GPT Audio | Delta | Mistral Small 3 |
|---|---|---|---|
Capabilities | 33 | -17 | |
Pricing | 10 | +10 | |
Context window size | 81 | +9 | |
Recency | 100 | +42 | |
Output Capacity | 70 | -- | |
| Overall Result | 3 wins | of 5 | 1 wins |
22
days ranked higher
1
days
7
days ranked higher
OpenAI
Mistral AI
Mistral Small 3 saves you $741.00/month
That's $8892.00/year compared to GPT Audio at your current usage level of 100K calls/month.
| Metric | GPT Audio | Mistral Small 3 | Winner |
|---|---|---|---|
| Overall Score | 62 | 59 | GPT Audio |
| Rank | #187 | #212 | GPT Audio |
| Quality Rank | #187 | #212 | GPT Audio |
| Adoption Rank | #187 | #212 | GPT Audio |
| Parameters | -- | 24B | -- |
| Context Window | 128K | 33K | GPT Audio |
| Pricing | $2.50/$10.00/M | $0.05/$0.08/M | -- |
| Signal Scores | |||
| Capabilities | 33 | 50 | Mistral Small 3 |
| Pricing | 10 | 0 | GPT Audio |
| Context window size | 81 | 72 | GPT Audio |
| Recency | 100 | 58 | GPT Audio |
| Output Capacity | 70 | 70 | 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 62/100 (rank #187), placing it in the top 36% of all 290 models tracked.
Scores 59/100 (rank #212), placing it in the top 27% of all 290 models tracked.
With only a 3-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 Small 3 offers 99% better value per quality point. At 1M tokens/day, you'd spend $1.95/month with Mistral Small 3 vs $187.50/month with GPT Audio — a $185.55 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 Small 3 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 ($0.08/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (62/100) correlates with better nuance, coherence, and style in long-form content
GPT Audio and Mistral Small 3 are extremely close in overall performance (only 2.700000000000003 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 Small 3
99% 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
| Capability | GPT Audio | Mistral Small 3 |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Mistral AI
Mistral Small 3 saves you $16.31/month
That's 99% 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 Small 3 |
|---|---|---|
| Context Window | 128K | 33K |
| Max Output Tokens | 16,384 | 16,384 |
| Open Source | No | Yes |
| Created | Jan 19, 2026 | Jan 30, 2025 |
GPT Audio scores 62/100 (rank #187) compared to Mistral Small 3's 59/100 (rank #212), giving it a 3-point advantage. GPT Audio is the stronger overall choice, though Mistral Small 3 may excel in specific areas like cost efficiency.
GPT Audio is ranked #187 and Mistral Small 3 is ranked #212 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 Small 3 is cheaper at $0.08/M output tokens vs GPT Audio's $10.00/M output tokens — 125.0x more expensive. Input token pricing: GPT Audio at $2.50/M vs Mistral Small 3 at $0.05/M.
GPT Audio has a larger context window of 128,000 tokens compared to Mistral Small 3's 32,768 tokens. A larger context window means the model can process longer documents and conversations.