GPT-3.5 Turbo (batch) vs Voxtral Small 24B 2507
| Signal | GPT-3.5 Turbo (batch) | Delta | Voxtral Small 24B 2507 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Pricing | 99 | 0 | |
Context window size | 67 | -5 | |
Recency | 0 | -73 | |
Output Capacity | 58 | -13 | |
| Overall Result | 1 wins | of 5 | 4 wins |
Score History
40
current score
Tied
right now
40
current score
GPT-3.5 Turbo (batch)
OpenAI
Voxtral Small 24B 2507
Mistral AI
Voxtral Small 24B 2507 saves you $37.50/month
That's $450.00/year compared to GPT-3.5 Turbo (batch) at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo (batch) | Voxtral Small 24B 2507 | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #408 | #353 | Voxtral Small 24B 2507 |
| Quality Rank | #408 | #353 | Voxtral Small 24B 2507 |
| Adoption Rank | #408 | #353 | Voxtral Small 24B 2507 |
| Parameters | -- | 24B | -- |
| Context Window | 16K | 33K | Voxtral Small 24B 2507 |
| Pricing | $0.25/$0.75/M | $0.10/$0.30/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | GPT-3.5 Turbo (batch) |
| Pricing | 99 | 100 | Voxtral Small 24B 2507 |
| Context window size | 67 | 72 | Voxtral Small 24B 2507 |
| Recency | 0 | 73 | Voxtral Small 24B 2507 |
| Output Capacity | 58 | 71 | Voxtral Small 24B 2507 |
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 40/100 (rank #408), placing it in the top -40% of all 290 models tracked.
Scores 40/100 (rank #353), placing it in the top -21% 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.
Choose GPT-3.5 Turbo (batch) when you need:
- Budget-friendly applications with moderate quality requirements
Choose Voxtral Small 24B 2507 when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Voxtral Small 24B 2507 offers 60% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Voxtral Small 24B 2507 vs $15.00/month with GPT-3.5 Turbo (batch) - a $9.00 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. Voxtral Small 24B 2507 also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (33K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.30/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
GPT-3.5 Turbo (batch) and Voxtral Small 24B 2507 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.
By Use Case
Best for Quality
GPT-3.5 Turbo (batch)
Marginally better benchmark scores; both are excellent
Best for Cost
Voxtral Small 24B 2507
60% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo (batch)
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo (batch)
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo (batch)
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-3.5 Turbo (batch) | Voxtral Small 24B 2507 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Searchdiffers | ||
| Image Output |
GPT-3.5 Turbo (batch)
OpenAI
Voxtral Small 24B 2507
Mistral AI
Voxtral Small 24B 2507 saves you $0.8100/month
That's 60% cheaper than GPT-3.5 Turbo (batch) 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 (batch) | Voxtral Small 24B 2507 |
|---|---|---|
| Context Window | 16K | 33K |
| Max Output Tokens | 4,096 | 26,214 |
| Open Source | No | Yes |
| Created | May 28, 2023 | Oct 30, 2025 |