Voxtral Small 24B 2507 vs Qwen3 VL 32B Instruct
| Signal | Voxtral Small 24B 2507 | Delta | Qwen3 VL 32B Instruct |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 100 | +0 | |
Context window size | 72 | -9 | |
Recency | 73 | +1 | |
Output Capacity | 71 | -2 | |
| Overall Result | 2 wins | of 5 | 3 wins |
Score History
40
current score
Tied
right now
40
current score
Voxtral Small 24B 2507
Mistral AI
Qwen3 VL 32B Instruct
Alibaba
Voxtral Small 24B 2507 saves you $6.20/month
That's $74.40/year compared to Qwen3 VL 32B Instruct at your current usage level of 100K calls/month.
| Metric | Voxtral Small 24B 2507 | Qwen3 VL 32B Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #351 | #353 | Voxtral Small 24B 2507 |
| Quality Rank | #351 | #353 | Voxtral Small 24B 2507 |
| Adoption Rank | #351 | #353 | Voxtral Small 24B 2507 |
| Parameters | 24B | 32B | -- |
| Context Window | 33K | 131K | Qwen3 VL 32B Instruct |
| Pricing | $0.10/$0.30/M | $0.10/$0.42/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Qwen3 VL 32B Instruct |
| Pricing | 100 | 100 | Voxtral Small 24B 2507 |
| Context window size | 72 | 81 | Qwen3 VL 32B Instruct |
| Recency | 73 | 72 | Voxtral Small 24B 2507 |
| Output Capacity | 71 | 72 | Qwen3 VL 32B Instruct |
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 #351), placing it in the top -21% 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 Voxtral Small 24B 2507 when you need:
- Self-hosted deployments where you need full control over the model
Choose Qwen3 VL 32B Instruct when you need:
- Processing long documents or large codebases (131K token context)
- Multimodal workflows that require image understanding
- Self-hosted deployments where you need full control over the model
Voxtral Small 24B 2507 offers 23% better value per quality point. At 1M tokens/day, you'd spend $6.00/month with Voxtral Small 24B 2507 vs $7.80/month with Qwen3 VL 32B Instruct - a $1.80 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 (131K 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
Image understanding & OCR
Supports vision input - can analyze screenshots, diagrams, photos, and scanned documents directly
Voxtral Small 24B 2507 and Qwen3 VL 32B 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.
By Use Case
Best for Quality
Voxtral Small 24B 2507
Marginally better benchmark scores; both are excellent
Best for Cost
Voxtral Small 24B 2507
23% lower pricing; better value at scale
Best for Reliability
Voxtral Small 24B 2507
Higher uptime and faster response speeds
Best for Prototyping
Voxtral Small 24B 2507
Stronger community support and better developer experience
Best for Production
Voxtral Small 24B 2507
Wider enterprise adoption and proven at scale
by Mistral AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 23% lower pricing; better value at scale
- 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 | Voxtral Small 24B 2507 | Qwen3 VL 32B Instruct |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Voxtral Small 24B 2507
Mistral AI
Qwen3 VL 32B Instruct
Alibaba
Voxtral Small 24B 2507 saves you $0.1464/month
That's 21% cheaper than Qwen3 VL 32B 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 | Voxtral Small 24B 2507 | Qwen3 VL 32B Instruct |
|---|---|---|
| Context Window | 33K | 131K |
| Max Output Tokens | 26,214 | 32,768 |
| Open Source | Yes | Yes |
| Created | Oct 30, 2025 | Oct 23, 2025 |