| Signal | Gemma 3 27B (free) | Delta | Mistral Small 3.1 24B (free) |
|---|---|---|---|
Capabilities | 50 | -17 | |
Pricing | 30 | -- | |
Context window size | 81 | +0 | |
Recency | 64 | -1 | |
Output Capacity | 65 | +45 | |
| Overall Result | 2 wins | of 5 | 2 wins |
13
days ranked higher
3
days
14
days ranked higher
Mistral AI
| Metric | Gemma 3 27B (free) | Mistral Small 3.1 24B (free) | Winner |
|---|---|---|---|
| Overall Score | 63 | 62 | Gemma 3 27B (free) |
| Rank | #203 | #210 | Gemma 3 27B (free) |
| Quality Rank | #203 | #210 | Gemma 3 27B (free) |
| Adoption Rank | #203 | #210 | Gemma 3 27B (free) |
| Parameters | 27B | 24B | -- |
| Context Window | 131K | 128K | Gemma 3 27B (free) |
| Pricing | Free | Free | -- |
| Signal Scores | |||
| Capabilities | 50 | 67 | Mistral Small 3.1 24B (free) |
| Pricing | 30 | 30 | Gemma 3 27B (free) |
| Context window size | 81 | 81 | Gemma 3 27B (free) |
| Recency | 64 | 65 | Mistral Small 3.1 24B (free) |
| Output Capacity | 65 | 20 | Gemma 3 27B (free) |
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 63/100 (rank #203), placing it in the top 30% of all 290 models tracked.
Scores 62/100 (rank #210), placing it in the top 28% of all 290 models tracked.
With only a 1-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.
Both models are priced similarly, so the decision comes down to quality and features rather than cost.
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. Gemma 3 27B (free) 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 ($0.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (63/100) 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
Gemma 3 27B (free) and Mistral Small 3.1 24B (free) are extremely close in overall performance (only 0.7000000000000028 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemma 3 27B (free)
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 3 27B (free)
0% lower pricing; better value at scale
Best for Reliability
Gemma 3 27B (free)
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 27B (free)
Stronger community support and better developer experience
Best for Production
Gemma 3 27B (free)
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 27B (free) | Mistral Small 3.1 24B (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Mistral AI
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemma 3 27B (free) | Mistral Small 3.1 24B (free) |
|---|---|---|
| Context Window | 131K | 128K |
| Max Output Tokens | 8,192 | -- |
| Open Source | Yes | Yes |
| Created | Mar 12, 2025 | Mar 17, 2025 |
Gemma 3 27B (free) scores 63/100 (rank #203) compared to Mistral Small 3.1 24B (free)'s 62/100 (rank #210), giving it a 1-point advantage. Gemma 3 27B (free) is the stronger overall choice, though Mistral Small 3.1 24B (free) may excel in specific areas like certain benchmarks.
Gemma 3 27B (free) is ranked #203 and Mistral Small 3.1 24B (free) is ranked #210 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.
Gemma 3 27B (free) is cheaper at $0.00/M output tokens vs Mistral Small 3.1 24B (free)'s $0.00/M output tokens - a significant difference. Input token pricing: Gemma 3 27B (free) at $0.00/M vs Mistral Small 3.1 24B (free) at $0.00/M.
Gemma 3 27B (free) has a larger context window of 131,072 tokens compared to Mistral Small 3.1 24B (free)'s 128,000 tokens. A larger context window means the model can process longer documents and conversations.