o3-deep-research vs GLM-4.5-Flash
o3-deep-research comes out ahead, 49 to 31 on our weighted score.
- Our pick
OpenAIo3-deep-research
49/100- ECI—
- Price—
- Context200K
Z.ai (Zhipu)GLM-4.5-Flash
31/100- ECI—
- PriceFree / Free
- Context131K
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Make it a three-way comparison.
o3-deep-research is our pick
o3-deep-research is the better all-round choice, scoring 49/100 against GLM-4.5-Flash (31). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceGLM-4.5-FlashGLM-4.5-Flash Free per 1M tokens (3:1 blend) · o3-deep-research unpriced
- Longest contexto3-deep-researcho3-deep-research 200,000 · GLM-4.5-Flash 131,072 tokens
- Widest inputso3-deep-researcho3-deep-research: Text, Images · GLM-4.5-Flash: Text
- Self-hostingNo open weightsBoth are available only through APIs
| Measure | Weight | o3-deep-research | GLM-4.5-Flash |
|---|---|---|---|
| Inputs & features | 60% | 60 | 35 |
| Context window | 40% | 32 | 24 |
| Overall | 100% | 49/100 | 31/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | o3-deep-researchOpenAI | GLM-4.5-FlashZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | Free |
| Output | — | Free |
| Cached input | — | — |
| Blended (3:1) | — | Free |
| Long-context rate | — | Same rate |
| Price source | — | Official Z.AI API |
| Limits | ||
| Context window | 200,000 tokens (best) | 131,072 tokens |
| Max output | 100,000 tokens (best) | 98,304 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Proprietary |
| API model ID | — | glm-4.5-flash |
| API providers | — | 4 |
| Released | Jun 26, 2024 | Jul 28, 2025 |
| Knowledge cutoff | May 2024 | Apr 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- o3-deep-research—
- GLM-4.5-FlashFree
Which should you choose?
Which is better: o3-deep-research or GLM-4.5-Flash?
o3-deep-research is the better all-round choice, scoring 49/100 against GLM-4.5-Flash (31). It leads on inputs & features and context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, o3-deep-research or GLM-4.5-Flash?
GLM-4.5-Flash is cheaper at Free input / Free output per million tokens (official Z.AI API price). . GLM-4.5-Flash is listed as free. o3-deep-research has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. o3-deep-research has not been scored yet and GLM-4.5-Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for o3-deep-research and GLM-4.5-Flash yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
o3-deep-research has the largest context window at 200,000 tokens, against 131,072 for GLM-4.5-Flash. Maximum output per response: o3-deep-research up to 100,000, GLM-4.5-Flash up to 98,304 tokens.
Which can read images, PDFs, audio or video?
o3-deep-research accepts text and images; GLM-4.5-Flash accepts text. o3-deep-research handles the widest range of inputs.
Are any of these open source?
No. o3-deep-research and GLM-4.5-Flash are proprietary and only available through APIs and apps.
Which is newer?
GLM-4.5-Flash is the newest, released Jul 28, 2025. o3-deep-research came out Jun 26, 2024. Knowledge cutoff: o3-deep-research May 2024, GLM-4.5-Flash Apr 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
