Gemini 2.5 Pro Preview 06-05 vs GLM-4.5V vs Morph V3 Fast
Too close to call on our weighted score (GLM-4.5V 48, Gemini 2.5 Pro Preview 06-05 48, Morph V3 Fast 32). 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
Morph
Morph V3 Fast
32/100- ECI—
- Price$0.80 / $1.20
- Context262K
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, Morph V3 Fast 32/100), 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-4.5V and Morph V3 FastGLM-4.5V $0.90 · Morph V3 Fast $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 · Morph V3 Fast 262,144 · 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 · Morph V3 Fast: Text
- Self-hostingGLM-4.5VPublishes downloadable weights
| Measure | Weight | Gemini 2.5 Pro Preview 06-05 | GLM-4.5V | Morph V3 Fast |
|---|---|---|---|---|
| Price | 50% | 24 | 50 | 50 |
| Inputs & features | 30% | 80 | 70 | 0 |
| Context window | 20% | 61 | 12 | 37 |
| Overall | 100% | 48/100 | 48/100 | 32/100 |
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) | Morph V3 FastMorph |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.22 | $0.60 (best) | $0.80 |
| Output | $9.75 | $1.80 | $1.20 (best) |
| Cached input | — | $0.11 | — |
| Blended (3:1) | $3.35 | $0.90 (best) | $0.90 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 4 providers | Official Z.AI API | Median of 5 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 64,000 tokens | 262,144 tokens |
| Max output | 65,536 tokens | 16,384 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | — | glm-4.5v | — |
| API providers | 4 | 17 (best) | 5 |
| Released | Jun 5, 2025 | Aug 11, 2025 | Jul 7, 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
- Morph V3 Fast$10.40
Which should you choose?
Which is better: Gemini 2.5 Pro Preview 06-05, GLM-4.5V or Morph V3 Fast?
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, Morph V3 Fast 32/100), 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, GLM-4.5V or Morph V3 Fast?
GLM-4.5V is cheaper at $0.60 input / $1.80 output per million tokens (official Z.AI API price). Morph V3 Fast costs $0.80 input / $1.20 output per million tokens (median across 5 API providers); 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 $0.90 for Morph V3 Fast (1× as much) and $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 all three models yet. Gemini 2.5 Pro Preview 06-05 has not been scored yet, GLM-4.5V has not been scored yet and Morph V3 Fast 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, GLM-4.5V and Morph V3 Fast yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Morph V3 Fast does not support tool calling, which most coding agents need.
Which has the bigger context window?
Gemini 2.5 Pro Preview 06-05 has the largest context window at 1,048,576 tokens, against 262,144 for Morph V3 Fast and 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, Morph V3 Fast up to 131,072 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; Morph V3 Fast accepts text. 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 and Morph V3 Fast is proprietary.
Which is newer?
GLM-4.5V is the newest, released Aug 11, 2025. Morph V3 Fast came out Jul 7, 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.
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