| Signal | Qwen3 Coder 30B A3B Instruct | Delta | GLM 4.5V |
|---|---|---|---|
Capabilities | 50 | -33 | |
Pricing | 0 | -1 | |
Context window size | 83 | +6 | |
Recency | 88 | -2 | |
Output Capacity | 75 | +5 | |
Benchmarks | 0 | -60 | |
| Overall Result | 2 wins | of 6 | 4 wins |
0
days higher
0
days
30
days higher
Alibaba
Zhipu AI
Qwen3 Coder 30B A3B Instruct saves you $129.50/month
That's $1554.00/year compared to GLM 4.5V at your current usage level of 100K calls/month.
| Metric | Qwen3 Coder 30B A3B Instruct | GLM 4.5V | Winner |
|---|---|---|---|
| Overall Score | 40 | 62 | GLM 4.5V |
| Rank | #214 | #90 | GLM 4.5V |
| Quality Rank | #214 | #90 | GLM 4.5V |
| Adoption Rank | #214 | #90 | GLM 4.5V |
| Parameters | 30B | -- | -- |
| Context Window | 160K | 66K | Qwen3 Coder 30B A3B Instruct |
| Pricing | $0.07/$0.27/M | $0.60/$1.80/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 83 | GLM 4.5V |
| Pricing | 0 | 2 | GLM 4.5V |
| Context window size | 83 | 76 | Qwen3 Coder 30B A3B Instruct |
| Recency | 88 | 90 | GLM 4.5V |
| Output Capacity | 75 | 70 | Qwen3 Coder 30B A3B Instruct |
| Benchmarks | -- | 60 | GLM 4.5V |
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 #214), placing it in the top 27% of all 290 models tracked.
Scores 62/100 (rank #90), placing it in the top 69% of all 290 models tracked.
GLM 4.5V has a 22-point advantage, which typically translates to noticeably stronger performance on complex reasoning, code generation, and multi-step tasks.
Qwen3 Coder 30B A3B Instruct offers 86% better value per quality point. At 1M tokens/day, you'd spend $5.10/month with Qwen3 Coder 30B A3B Instruct vs $36.00/month with GLM 4.5V - a $30.90 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. Qwen3 Coder 30B A3B Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (160K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.27/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (62/100) 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
GLM 4.5V clearly outperforms Qwen3 Coder 30B A3B Instruct with a significant 22.299999999999997-point lead. For most general use cases, GLM 4.5V is the stronger choice. However, Qwen3 Coder 30B A3B Instruct may still excel in niche scenarios.
Best for Quality
Qwen3 Coder 30B A3B Instruct
Marginally better benchmark scores; both are excellent
Best for Cost
Qwen3 Coder 30B A3B Instruct
86% lower pricing; better value at scale
Best for Reliability
Qwen3 Coder 30B A3B Instruct
Higher uptime and faster response speeds
Best for Prototyping
Qwen3 Coder 30B A3B Instruct
Stronger community support and better developer experience
Best for Production
Qwen3 Coder 30B A3B Instruct
Wider enterprise adoption and proven at scale
by Alibaba
| Capability | Qwen3 Coder 30B A3B Instruct | GLM 4.5V |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoningdiffers | ||
| Web Search | ||
| Image Output |
Alibaba
Zhipu AI
Qwen3 Coder 30B A3B Instruct saves you $2.79/month
That's 86% cheaper than GLM 4.5V 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 | Qwen3 Coder 30B A3B Instruct | GLM 4.5V |
|---|---|---|
| Context Window | 160K | 66K |
| Max Output Tokens | 32,768 | 16,384 |
| Open Source | Yes | Yes |
| Created | Jul 31, 2025 | Aug 11, 2025 |
GLM 4.5V scores 62/100 (rank #90) compared to Qwen3 Coder 30B A3B Instruct's 40/100 (rank #214), giving it a 22-point advantage. GLM 4.5V is the stronger overall choice, though Qwen3 Coder 30B A3B Instruct may excel in specific areas like cost efficiency.
Qwen3 Coder 30B A3B Instruct is ranked #214 and GLM 4.5V is ranked #90 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.
Qwen3 Coder 30B A3B Instruct is cheaper at $0.27/M output tokens vs GLM 4.5V's $1.80/M output tokens - 6.7x more expensive. Input token pricing: Qwen3 Coder 30B A3B Instruct at $0.07/M vs GLM 4.5V at $0.60/M.
Qwen3 Coder 30B A3B Instruct has a larger context window of 160,000 tokens compared to GLM 4.5V's 65,536 tokens. A larger context window means the model can process longer documents and conversations.