| Signal | Gemma 3 27B | Delta | Mistral Small 3 |
|---|---|---|---|
Capabilities | 67 | +17 | |
Pricing | 0 | -- | |
Context window size | 81 | +9 | |
Recency | 66 | +7 | |
Output Capacity | 80 | +10 | |
| Overall Result | 4 wins | of 5 | 0 wins |
30
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Mistral AI
Gemma 3 27B saves you $0.50/month
That's $6.00/year compared to Mistral Small 3 at your current usage level of 100K calls/month.
| Metric | Gemma 3 27B | Mistral Small 3 | Winner |
|---|---|---|---|
| Overall Score | 71 | 59 | Gemma 3 27B |
| Rank | #112 | #212 | Gemma 3 27B |
| Quality Rank | #112 | #212 | Gemma 3 27B |
| Adoption Rank | #112 | #212 | Gemma 3 27B |
| Parameters | 27B | 24B | -- |
| Context Window | 128K | 33K | Gemma 3 27B |
| Pricing | $0.03/$0.11/M | $0.05/$0.08/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 50 | Gemma 3 27B |
| Pricing | 0 | 0 | Gemma 3 27B |
| Context window size | 81 | 72 | Gemma 3 27B |
| Recency | 66 | 58 | Gemma 3 27B |
| Output Capacity | 80 | 70 | Gemma 3 27B |
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 71/100 (rank #112), placing it in the top 62% of all 290 models tracked.
Scores 59/100 (rank #212), placing it in the top 27% of all 290 models tracked.
Gemma 3 27B has a 12-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
Gemma 3 27B offers 7% better value per quality point. At 1M tokens/day, you'd spend $1.95/month with Mistral Small 3 vs $2.10/month with Gemma 3 27B — a $0.15 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 (71/100) 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 clearly outperforms Mistral Small 3 with a significant 12.400000000000006-point lead. For most general use cases, Gemma 3 27B is the stronger choice. However, Mistral Small 3 may still excel in niche scenarios.
Best for Quality
Gemma 3 27B
Marginally better benchmark scores; both are excellent
Best for Cost
Mistral Small 3
7% lower pricing; better value at scale
Best for Reliability
Gemma 3 27B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 3 27B
Stronger community support and better developer experience
Best for Production
Gemma 3 27B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 3 27B | Mistral Small 3 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| 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 | Mistral Small 3 |
|---|---|---|
| Context Window | 128K | 33K |
| Max Output Tokens | 65,536 | 16,384 |
| Open Source | Yes | Yes |
| Created | Mar 12, 2025 | Jan 30, 2025 |
Gemma 3 27B scores 71/100 (rank #112) compared to Mistral Small 3's 59/100 (rank #212), giving it a 12-point advantage. Gemma 3 27B is the stronger overall choice, though Mistral Small 3 may excel in specific areas like cost efficiency.
Gemma 3 27B is ranked #112 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 Gemma 3 27B's $0.11/M output tokens — 1.4x more expensive. Input token pricing: Gemma 3 27B at $0.03/M vs Mistral Small 3 at $0.05/M.
Gemma 3 27B 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.