Mistral Small 3.2 24B vs Grok 4.7
| Signal | Mistral Small 3.2 24B | Delta | Grok 4.7 |
|---|---|---|---|
Capabilities | 67 | -33 | |
Pricing | 100 | +5 | |
Context window size | 86 | -5 | |
Recency | 49 | -51 | |
Output Capacity | 67 | -23 | |
Benchmarks | 0 | -86 | |
| Overall Result | 1 wins | of 6 | 5 wins |
Score History
40
current score
Grok 4.7
right now
88.8
current score
Mistral Small 3.2 24B
Mistral AI
Grok 4.7
xAI
Mistral Small 3.2 24B saves you $378.13/month
That's $4537.50/year compared to Grok 4.7 at your current usage level of 100K calls/month.
| Metric | Mistral Small 3.2 24B | Grok 4.7 | Winner |
|---|---|---|---|
| Overall Score | 40 | 89 | Grok 4.7 |
| Rank | #377 | #42 | Grok 4.7 |
| Quality Rank | #377 | #42 | Grok 4.7 |
| Adoption Rank | #377 | #42 | Grok 4.7 |
| Parameters | 24B | -- | -- |
| Context Window | 256K | 500K | Grok 4.7 |
| Pricing | $0.09/$0.25/M | $1.60/$4.80/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 100 | Grok 4.7 |
| Pricing | 100 | 95 | Mistral Small 3.2 24B |
| Context window size | 86 | 90 | Grok 4.7 |
| Recency | 49 | 100 | Grok 4.7 |
| Output Capacity | 67 | 90 | Grok 4.7 |
| Benchmarks | -- | 86 | Grok 4.7 |
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 #377), placing it in the top -30% of all 290 models tracked.
Scores 89/100 (rank #42), placing it in the top 86% of all 290 models tracked.
Grok 4.7 has a 49-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Choose Mistral Small 3.2 24B when you need:
- High-volume production workloads where API costs must be minimized
- Self-hosted deployments where you need full control over the model
Choose Grok 4.7 when you need:
- Processing long documents or large codebases (500K token context)
- Step-by-step reasoning and chain-of-thought problem solving
Mistral Small 3.2 24B offers 95% better value per quality point. At 1M tokens/day, you'd spend $5.16/month with Mistral Small 3.2 24B vs $96.00/month with Grok 4.7 - a $90.84 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. Mistral Small 3.2 24B also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (500K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.25/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (89/100) 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
Grok 4.7 clearly outperforms Mistral Small 3.2 24B with a significant 48.8-point lead. For most general use cases, Grok 4.7 is the stronger choice. However, Mistral Small 3.2 24B may still excel in niche scenarios.
By Use Case
Best for Quality
Mistral Small 3.2 24B
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3.2 24B
95% lower pricing; better value at scale
Best for Reliability
Mistral Small 3.2 24B
Higher uptime and faster response speeds
Best for Prototyping
Mistral Small 3.2 24B
Stronger community support and better developer experience
Best for Production
Mistral Small 3.2 24B
Wider enterprise adoption and proven at scale
by Mistral AI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Cost - 95% 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 | Mistral Small 3.2 24B | Grok 4.7 |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Searchdiffers | ||
| Image Output |
Mistral Small 3.2 24B
Mistral AI
Grok 4.7
xAI
Mistral Small 3.2 24B saves you $8.17/month
That's 95% cheaper than Grok 4.7 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 | Mistral Small 3.2 24B | Grok 4.7 |
|---|---|---|
| Context Window | 256K | 500K |
| Max Output Tokens | 16,384 | 450,000 |
| Open Source | Yes | No |
| Created | Jun 20, 2025 | Sep 21, 2026 |