| Signal | Gemma 4 26B A4B | Delta | Gemma 4 31B |
|---|---|---|---|
Capabilities | 83 | -- | |
Benchmarks | 72 | -15 | |
Pricing | 100 | -- | |
Context window size | 86 | -- | |
Recency | 100 | -- | |
Output Capacity | 90 | +5 | |
| Overall Result | 1 wins | of 6 | 1 wins |
0
days higher
0
days
30
days higher
Gemma 4 26B A4B saves you $1.00/month
That's $12.00/year compared to Gemma 4 31B at your current usage level of 100K calls/month.
| Metric | Gemma 4 26B A4B | Gemma 4 31B | Winner |
|---|---|---|---|
| Overall Score | 73 | 87 | Gemma 4 31B |
| Rank | #49 | #14 | Gemma 4 31B |
| Quality Rank | #49 | #14 | Gemma 4 31B |
| Adoption Rank | #49 | #14 | Gemma 4 31B |
| Parameters | 26B | 31B | -- |
| Context Window | 262K | 262K | -- |
| Pricing | $0.13/$0.40/M | $0.14/$0.40/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 83 | Gemma 4 26B A4B |
| Benchmarks | 72 | 87 | Gemma 4 31B |
| Pricing | 100 | 100 | Gemma 4 26B A4B |
| Context window size | 86 | 86 | Gemma 4 26B A4B |
| Recency | 100 | 100 | Gemma 4 26B A4B |
| Output Capacity | 90 | 85 | Gemma 4 26B A4B |
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%). Here's what the scores mean for these two models:
Scores 73/100 (rank #49), placing it in the top 83% of all 290 models tracked.
Scores 87/100 (rank #14), placing it in the top 96% of all 290 models tracked.
Gemma 4 31B has a 14-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
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 4 26B A4B 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 ($0.40/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (87/100) 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 clearly outperforms Gemma 4 26B A4B with a significant 13.5-point lead. For most general use cases, Gemma 4 31B is the stronger choice. However, Gemma 4 26B A4B may still excel in niche scenarios.
Best for Quality
Gemma 4 26B A4B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 26B A4B
2% lower pricing; better value at scale
Best for Reliability
Gemma 4 26B A4B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 26B A4B
Stronger community support and better developer experience
Best for Production
Gemma 4 26B A4B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 26B A4B | Gemma 4 31B |
|---|---|---|
| Vision (Image Input) | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Gemma 4 26B A4B saves you $0.0180/month
That's 2% cheaper than Gemma 4 31B 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 | Gemma 4 26B A4B | Gemma 4 31B |
|---|---|---|
| Context Window | 262K | 262K |
| Max Output Tokens | 262,144 | 131,072 |
| Open Source | Yes | Yes |
| Created | Apr 3, 2026 | Apr 2, 2026 |
Gemma 4 31B scores 87/100 (rank #14) compared to Gemma 4 26B A4B 's 73/100 (rank #49), giving it a 14-point advantage. Gemma 4 31B is the stronger overall choice, though Gemma 4 26B A4B may excel in specific areas like certain benchmarks.
Gemma 4 26B A4B is ranked #49 and Gemma 4 31B is ranked #14 out of 290+ AI models. Rankings use a composite score combining benchmark performance (90%) from MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations, with capabilities and context window as tiebreakers (10%). Scores update hourly.
Gemma 4 26B A4B is cheaper at $0.40/M output tokens vs Gemma 4 31B's $0.40/M output tokens - 1.0x more expensive. Input token pricing: Gemma 4 26B A4B at $0.13/M vs Gemma 4 31B at $0.14/M.
Gemma 4 26B A4B has a larger context window of 262,144 tokens compared to Gemma 4 31B's 262,144 tokens. A larger context window means the model can process longer documents and conversations.