| Signal | Gemma 4 31B | Delta | GLM 5V Turbo |
|---|---|---|---|
Capabilities | 67 | -17 | |
Pricing | 0 | -4 | |
Context window size | 86 | +2 | |
Recency | 100 | -- | |
Output Capacity | 85 | -- | |
| Overall Result | 1 wins | of 5 | 2 wins |
10
days higher
2
days
18
days higher
Zhipu AI
Gemma 4 31B saves you $286.00/month
That's $3432.00/year compared to GLM 5V Turbo at your current usage level of 100K calls/month.
| Metric | Gemma 4 31B | GLM 5V Turbo | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #118 | #120 | Gemma 4 31B |
| Quality Rank | #118 | #120 | Gemma 4 31B |
| Adoption Rank | #118 | #120 | Gemma 4 31B |
| Parameters | 31B | -- | -- |
| Context Window | 262K | 203K | Gemma 4 31B |
| Pricing | $0.14/$0.40/M | $1.20/$4.00/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | GLM 5V Turbo |
| Pricing | 0 | 4 | GLM 5V Turbo |
| Context window size | 86 | 84 | Gemma 4 31B |
| Recency | 100 | 100 | Gemma 4 31B |
| Output Capacity | 85 | 85 | Gemma 4 31B |
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 40/100 (rank #118), placing it in the top 60% of all 290 models tracked.
Scores 40/100 (rank #120), placing it in the top 59% of all 290 models tracked.
With only a 0-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 31B offers 90% better value per quality point. At 1M tokens/day, you'd spend $8.10/month with Gemma 4 31B vs $78.00/month with GLM 5V Turbo - a $69.90 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 31B 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 (40/100) 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 and GLM 5V Turbo are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
Gemma 4 31B
Marginally better benchmark scores; both are excellent
Best for Cost
Gemma 4 31B
90% lower pricing; better value at scale
Best for Reliability
Gemma 4 31B
Higher uptime and faster response speeds
Best for Prototyping
Gemma 4 31B
Stronger community support and better developer experience
Best for Production
Gemma 4 31B
Wider enterprise adoption and proven at scale
by Google
| Capability | Gemma 4 31B | GLM 5V Turbo |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
Zhipu AI
Gemma 4 31B saves you $6.23/month
That's 89% cheaper than GLM 5V Turbo 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 31B | GLM 5V Turbo |
|---|---|---|
| Context Window | 262K | 203K |
| Max Output Tokens | 131,072 | 131,072 |
| Open Source | Yes | No |
| Created | Apr 2, 2026 | Apr 1, 2026 |
Both Gemma 4 31B and GLM 5V Turbo score 40/100, making them extremely close competitors. Choose based on pricing, provider ecosystem, or specific capability requirements.
Gemma 4 31B is ranked #118 and GLM 5V Turbo is ranked #120 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 31B is cheaper at $0.40/M output tokens vs GLM 5V Turbo's $4.00/M output tokens - 10.0x more expensive. Input token pricing: Gemma 4 31B at $0.14/M vs GLM 5V Turbo at $1.20/M.
Gemma 4 31B has a larger context window of 262,144 tokens compared to GLM 5V Turbo's 202,752 tokens. A larger context window means the model can process longer documents and conversations.