AI model comparison
GLM 5.3 Flash vs gpt-oss-120b
Side by side comparison of GLM 5.3 Flash and gpt-oss-120b on pricing, benchmark scores, context window, and more.
GLM-5.3-Flash is a native multimodal model from Z.ai. It is suited for efficient coding and long-horizon agent tasks.
- Input / 1M
- $0.15
- Output / 1M
- $0.50
- Context
- 1.05M
gpt-oss-120b is an open-weight, 117B-parameter Mixture-of-Experts (MoE) language model from OpenAI designed for high-reasoning, agentic, and general-purpose production use cases.
- Input / 1M
- $0.15
- Output / 1M
- $0.60
- Context
- 131K
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
GLM 5.3 Flash
1.1x cheaper for a typical chat
Higher intelligence score
Not available
Not enough benchmark data
Larger context window
GLM 5.3 Flash
1.05M vs 131K tokens
Newer release
GLM 5.3 Flash
Released August 26, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
gpt-oss-120bNot availableCoding index
gpt-oss-120b30.4Agentic index
gpt-oss-120b3.7Pricing
GLM 5.3 Flash vs gpt-oss-120b API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | gpt-oss-120b | |
|---|---|---|
| Input tokensPer 1M tokens | $0.15 | $0.15 |
| Output tokensPer 1M tokens | $0.50 | $0.60 |
| Cached input (read)Per 1M tokens | $0.03 | $0.08 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
gpt-oss-120b$0.60Coding task
30K in, 4K out
gpt-oss-120b$6.90$4.65 cachedLong document summary
150K in, 2K out
gpt-oss-120b$23.70$12.45 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | gpt-oss-120b | |
|---|---|---|
| Context window | 1.05M tokens | 131K tokens |
| Max output | 944K tokens | 66K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Max, High, Low | High, Medium, Low |
| Default reasoning effort | Max | Medium |
| Release date | August 26, 2026 | August 5, 2025 |
Features
Supported features
API features available for each model.
| Metric | gpt-oss-120b | |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
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- GLM 5.3 Flash vs Mistral Nemo
- GLM 5.3 Flash vs DeepSeek V3.2
- GLM 5.3 Flash vs GPT-4o-mini
- GLM 5.3 Flash vs gpt-oss-20b
- GLM 5.3 Flash vs Nemotron 3.5 Super VL
- GLM 5.3 Flash vs GLM 5.3 FlashX
- GLM 5.3 Flash vs GPT-6.1 Terra
- GLM 5.3 Flash vs Qwen3.6 35B A3B
- GLM 5.3 Flash vs GPT-5.6 Luna Pro
- GLM 5.3 Flash vs MiMo-V2.5
- GLM 5.3 Flash vs MiMo-V2.5-Pro
- GLM 5.3 Flash vs Ling 3.1 Flash
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- GLM 5.3 Flash vs Inkling Small
- GLM 5.3 Flash vs Command A+
gpt-oss-120bView full model details- gpt-oss-120b vs DeepSeek V4.1 Flash 1017
- gpt-oss-120b vs DeepSeek V4.1 Flash
- gpt-oss-120b vs GPT-6 Luna
- gpt-oss-120b vs Hy3
- gpt-oss-120b vs Claude Haiku 5.5
- gpt-oss-120b vs MiniMax M3.1 Flash
- gpt-oss-120b vs GPT-5.6 Luna
- gpt-oss-120b vs GPT-6 Luna Pro
- gpt-oss-120b vs GPT-4o-mini
- gpt-oss-120b vs GPT-5.6 Luna Pro
Our take
GLM 5.3 Flash is 1.1x cheaper for a typical chat. GLM 5.3 Flash has the larger context window (1.05M vs 131K tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is GLM 5.3 Flash or gpt-oss-120b cheaper?
GLM 5.3 Flash is cheaper for a typical chat (2K input tokens and 500 output tokens). GLM 5.3 Flash costs $0.15 per 1M input tokens and $0.50 per 1M output tokens, while gpt-oss-120b costs $0.15 per 1M input tokens and $0.60 per 1M output tokens.
Which has a bigger context window, GLM 5.3 Flash or gpt-oss-120b?
GLM 5.3 Flash supports up to 1.05M tokens of context, compared with 131K for gpt-oss-120b.
Can I use GLM 5.3 Flash and gpt-oss-120b at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see GLM 5.3 Flash and gpt-oss-120b answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to GLM 5.3 Flash and gpt-oss-120b at the same time. Compare the answers side by side and keep the best one.