Gemini 2.5 Pro Preview 06-05 vs GLM-4.5V
Too close to call on our weighted score (GLM-4.5V 48, Gemini 2.5 Pro Preview 06-05 48). The right pick depends on what you value most.
GoogleGemini 2.5 Pro Preview 06-05
48/100- ECI—
- Price$1.22 / $9.75
- Context1.05M
Z.ai (Zhipu)GLM-4.5V
48/100- ECI—
- Price$0.60 / $1.80
- Context64K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (GLM-4.5V 48/100, Gemini 2.5 Pro Preview 06-05 48/100), so choose by what matters most for your work: GLM-4.5V on price and Gemini 2.5 Pro Preview 06-05 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. 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-4.5VGLM-4.5V $0.90 · Gemini 2.5 Pro Preview 06-05 $3.35 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05 1,048,576 · GLM-4.5V 64,000 tokens
- Widest inputsGemini 2.5 Pro Preview 06-05Gemini 2.5 Pro Preview 06-05: Text, Images, PDFs, Audio · GLM-4.5V: Text, Images, Video
- Self-hostingGLM-4.5VPublishes downloadable weights
| Measure | Weight | Gemini 2.5 Pro Preview 06-05 | GLM-4.5V |
|---|---|---|---|
| Price | 50% | 24 | 50 |
| Inputs & features | 30% | 80 | 70 |
| Context window | 20% | 61 | 12 |
| Overall | 100% | 48/100 | 48/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Gemini 2.5 Pro Preview 06-05Google | GLM-4.5VZ.ai (Zhipu) |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $1.22 | $0.60 (best) |
| Output | $9.75 | $1.80 (best) |
| Cached input | — | $0.11 |
| Blended (3:1) | $3.35 | $0.90 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 4 providers | Official Z.AI API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 64,000 tokens |
| Max output | 65,536 tokens (best) | 16,384 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | Yes | No |
| Audio | Yes | No |
| Video | No | Yes |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | — | glm-4.5v |
| API providers | 4 | 17 (best) |
| Released | Jun 5, 2025 | Aug 11, 2025 |
| Knowledge cutoff | Jan 31, 2025 | 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.
- Gemini 2.5 Pro Preview 06-05$31.69
- GLM-4.5V$9.60
Which should you choose?
Which is better: Gemini 2.5 Pro Preview 06-05 or GLM-4.5V?
It is close. Our weighted score puts them within a point (GLM-4.5V 48/100, Gemini 2.5 Pro Preview 06-05 48/100), so choose by what matters most for your work: GLM-4.5V on price and Gemini 2.5 Pro Preview 06-05 for long inputs. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Gemini 2.5 Pro Preview 06-05 or GLM-4.5V?
GLM-4.5V is cheaper at $0.60 input / $1.80 output per million tokens (official Z.AI API price). Gemini 2.5 Pro Preview 06-05 costs $1.22 input / $9.75 output per million tokens (median across 4 API providers). At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for GLM-4.5V versus $3.35 for Gemini 2.5 Pro Preview 06-05 (3.7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemini 2.5 Pro Preview 06-05 has not been scored yet and GLM-4.5V has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Pro Preview 06-05 and GLM-4.5V 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?
Gemini 2.5 Pro Preview 06-05 has the largest context window at 1,048,576 tokens, against 64,000 for GLM-4.5V. Maximum output per response: Gemini 2.5 Pro Preview 06-05 up to 65,536, GLM-4.5V up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Pro Preview 06-05 accepts text, images, PDFs and audio; GLM-4.5V accepts text, images and video. Gemini 2.5 Pro Preview 06-05 handles the widest range of inputs.
Are any of these open source?
GLM-4.5V publishes its weights and can be self-hosted; Gemini 2.5 Pro Preview 06-05 is proprietary.
Which is newer?
GLM-4.5V is the newest, released Aug 11, 2025. Gemini 2.5 Pro Preview 06-05 came out Jun 5, 2025. Knowledge cutoff: Gemini 2.5 Pro Preview 06-05 Jan 31, 2025, GLM-4.5V 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 Nov 2, 2026.
Related comparisons
- Add o4-mini-deep-researchThree-way comparison
- Gemini 2.5 Pro Preview 06-05 vs o4-mini-deep-researchOpenAI
- Gemini 2.5 Pro Preview 06-05 vs Jamba LargeAI21 Labs
- Gemini 2.5 Pro Preview 06-05 vs Qwen MT PlusAlibaba (Qwen)
- Gemini 2.5 Pro Preview 06-05 vs Pixtral Large (25.02)Mistral AI
- GLM-4.5V vs Morph V3 FastMorph
- GLM-4.5V vs Mistral Medium 3.1Mistral AI
