| Signal | gpt-oss-120b | Delta | GLM 4.5V |
|---|---|---|---|
Capabilities | 67 | -17 | |
Benchmarks | 61 | +0 | |
Pricing | 0 | -2 | |
Context window size | 81 | +5 | |
Recency | 89 | -1 | |
Output Capacity | 20 | -50 | |
| Overall Result | 2 wins | of 6 | 4 wins |
7
days higher
4
days
19
days higher
OpenAI
Zhipu AI
gpt-oss-120b saves you $136.60/month
That's $1639.20/year compared to GLM 4.5V at your current usage level of 100K calls/month.
| Metric | gpt-oss-120b | GLM 4.5V | Winner |
|---|---|---|---|
| Overall Score | 62 | 62 | GLM 4.5V |
| Rank | #92 | #90 | GLM 4.5V |
| Quality Rank | #92 | #90 | GLM 4.5V |
| Adoption Rank | #92 | #90 | GLM 4.5V |
| Parameters | 120B | -- | -- |
| Context Window | 131K | 66K | gpt-oss-120b |
| Pricing | $0.04/$0.19/M | $0.60/$1.80/M | -- |
| Signal Scores | |||
| Capabilities | 67 | 83 | GLM 4.5V |
| Benchmarks | 61 | 60 | gpt-oss-120b |
| Pricing | 0 | 2 | GLM 4.5V |
| Context window size | 81 | 76 | gpt-oss-120b |
| Recency | 89 | 90 | GLM 4.5V |
| Output Capacity | 20 | 70 | 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 62/100 (rank #92), placing it in the top 69% of all 290 models tracked.
Scores 62/100 (rank #90), placing it in the top 69% 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.
gpt-oss-120b offers 90% better value per quality point. At 1M tokens/day, you'd spend $3.44/month with gpt-oss-120b vs $36.00/month with GLM 4.5V - a $32.56 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. gpt-oss-120b also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (131K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($0.19/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
gpt-oss-120b and GLM 4.5V are extremely close in overall performance (only 0.3999999999999986 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
Best for Quality
gpt-oss-120b
Marginally better benchmark scores; both are excellent
Best for Cost
gpt-oss-120b
90% lower pricing; better value at scale
Best for Reliability
gpt-oss-120b
Higher uptime and faster response speeds
Best for Prototyping
gpt-oss-120b
Stronger community support and better developer experience
Best for Production
gpt-oss-120b
Wider enterprise adoption and proven at scale
by OpenAI
| Capability | gpt-oss-120b | GLM 4.5V |
|---|---|---|
| Vision (Image Input)differs | ||
| Function Calling | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
OpenAI
Zhipu AI
gpt-oss-120b saves you $2.94/month
That's 91% 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 | gpt-oss-120b | GLM 4.5V |
|---|---|---|
| Context Window | 131K | 66K |
| Max Output Tokens | -- | 16,384 |
| Open Source | Yes | Yes |
| Created | Aug 5, 2025 | Aug 11, 2025 |
GLM 4.5V scores 62/100 (rank #90) compared to gpt-oss-120b's 62/100 (rank #92), giving it a 0-point advantage. GLM 4.5V is the stronger overall choice, though gpt-oss-120b may excel in specific areas like cost efficiency.
gpt-oss-120b is ranked #92 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.
gpt-oss-120b is cheaper at $0.19/M output tokens vs GLM 4.5V's $1.80/M output tokens - 9.5x more expensive. Input token pricing: gpt-oss-120b at $0.04/M vs GLM 4.5V at $0.60/M.
gpt-oss-120b has a larger context window of 131,072 tokens compared to GLM 4.5V's 65,536 tokens. A larger context window means the model can process longer documents and conversations.