| Signal | Gemma 4 26B A4B (free) | Delta | Gemma 4 31B (free) |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 72 | -14 | |
Pricing | 100 | -- | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 75 | -- | |
| Overall Result | 0 wins | of 6 | 1 wins |
Score History
73.1
current score
Gemma 4 31B (free)
right now
80.4
current score
| Metric | Gemma 4 26B A4B (free) | Gemma 4 31B (free) | Winner |
|---|---|---|---|
| Overall Score | 73 | 80 | Gemma 4 31B (free) |
| Rank | #66 | #34 | Gemma 4 31B (free) |
| Quality Rank | #66 | #34 | Gemma 4 31B (free) |
| Adoption Rank | #66 | #34 | Gemma 4 31B (free) |
| Parameters | 26B | 31B | -- |
| Context Window | 262K | 262K | -- |
| Pricing | Free | Free | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Gemma 4 26B A4B (free) |
| Benchmarks | 72 | 86 | Gemma 4 31B (free) |
| Pricing | 100 | 100 | Gemma 4 26B A4B (free) |
| Context window size | 86 | 86 | Gemma 4 26B A4B (free) |
| Recency | 100 | 100 | Gemma 4 26B A4B (free) |
| Output Capacity | 75 | 75 | Gemma 4 26B A4B (free) |
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 73/100 (rank #66), placing it in the top 78% of all 290 models tracked.
Scores 80/100 (rank #34), placing it in the top 89% of all 290 models tracked.
Gemma 4 31B (free) has a 7-point advantage, which typically translates to noticeably better performance on complex reasoning, code generation, and multi-step tasks.
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
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. Gemma 4 26B A4B (free) also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (262K 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 (80/100) 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 4 31B (free) has a moderate advantage with a 7.300000000000011-point lead in composite score. It wins on more signal dimensions, but Gemma 4 26B A4B (free) has specific strengths that could make it the better choice for certain workflows.
Best for Quality
Gemma 4 26B A4B (free)
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 26B A4B (free)
0% lower pricing; better value at scale
Best for Reliability
Gemma 4 26B A4B (free)
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 26B A4B (free)
Stronger community support and better developer experience
Best for Production
Gemma 4 26B A4B (free)
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 26B A4B (free) | Gemma 4 31B (free) |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | Gemma 4 26B A4B (free) | Gemma 4 31B (free) |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | 32,768 | 32,768 |
| Open Source | Yes | Yes |
| Created | Apr 3, 2026 | Apr 2, 2026 |