| Signal | Gemma 4 26B A4B | Delta | GLM 5.1 |
|---|---|---|---|
Capabilities | 83 | +17 | |
Benchmarks | 72 | -2 | |
Pricing | 100 | +3 | |
Context window size | 86 | +2 | |
Recency | 100 | -- | |
Output Capacity | 90 | +2 | |
| Overall Result | 4 wins | of 6 | 1 wins |
Score History
73.4
current score
GLM 5.1
right now
74.3
current score
Zhipu AI
Gemma 4 26B A4B saves you $227.00/month
That's $2724.00/year compared to GLM 5.1 at your current usage level of 100K calls/month.
| Metric | Gemma 4 26B A4B | GLM 5.1 | Winner |
|---|---|---|---|
| Overall Score | 73 | 74 | GLM 5.1 |
| Rank | #59 | #50 | GLM 5.1 |
| Quality Rank | #59 | #50 | GLM 5.1 |
| Adoption Rank | #59 | #50 | GLM 5.1 |
| Parameters | 26B | -- | -- |
| Context Window | 262K | 203K | Gemma 4 26B A4B |
| Pricing | $0.13/$0.40/M | $1.00/$3.20/M | -- |
| Signal Scores | |||
| Capabilities | 83 | 67 | Gemma 4 26B A4B |
| Benchmarks | 72 | 74 | GLM 5.1 |
| Pricing | 100 | 97 | Gemma 4 26B A4B |
| Context window size | 86 | 84 | Gemma 4 26B A4B |
| Recency | 100 | 100 | Gemma 4 26B A4B |
| Output Capacity | 90 | 88 | 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%). Learn more about our methodology.
Scores 73/100 (rank #59), placing it in the top 80% of all 290 models tracked.
Scores 74/100 (rank #50), placing it in the top 83% 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.
Gemma 4 26B A4B offers 87% better value per quality point. At 1M tokens/day, you'd spend $7.95/month with Gemma 4 26B A4B vs $63.00/month with GLM 5.1 - a $55.05 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. 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 (74/100) 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 26B A4B and GLM 5.1 are extremely close in overall performance (only 0.8999999999999915 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemma 4 26B A4B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 26B A4B
87% 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 | GLM 5.1 |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Zhipu AI
Gemma 4 26B A4B saves you $4.93/month
That's 87% cheaper than GLM 5.1 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 | GLM 5.1 |
|---|---|---|
| Context Window | 262K | 203K |
| Max Output Tokens | 262,144 | 202,752 |
| Open Source | Yes | Yes |
| Created | Apr 3, 2026 | Apr 7, 2026 |
GLM 5.1 scores 74/100 (rank #50) compared to Gemma 4 26B A4B 's 73/100 (rank #59), giving it a 1-point advantage. GLM 5.1 is the stronger overall choice, though Gemma 4 26B A4B may excel in specific areas like cost efficiency.
Gemma 4 26B A4B is ranked #59 and GLM 5.1 is ranked #50 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 GLM 5.1's $3.20/M output tokens - 8.0x more expensive. Input token pricing: Gemma 4 26B A4B at $0.13/M vs GLM 5.1 at $1.00/M.
Gemma 4 26B A4B has a larger context window of 262,144 tokens compared to GLM 5.1's 202,752 tokens. A larger context window means the model can process longer documents and conversations.