GLM-4.5V vs Claude Haiku 4.5
Too close to call on our weighted score (GLM-4.5V 49, Claude Haiku 4.5 48). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-4.5V
49/100- ECI—
- Price$0.60 / $1.80
- Context64K
AnthropicClaude Haiku 4.5
48/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 1 points (GLM-4.5V 49/100, Claude Haiku 4.5 48/100), so choose by what matters most for your work: GLM-4.5V on price and Claude Haiku 4.5 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 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextClaude Haiku 4.5Claude Haiku 4.5 200,000 · GLM-4.5V 64,000 tokens
- Widest inputsSame inputsGLM-4.5V: Text, Images, Video · Claude Haiku 4.5: Text, Images, PDFs
- Self-hostingGLM-4.5VPublishes downloadable weights
| Measure | Weight | GLM-4.5V | Claude Haiku 4.5 |
|---|---|---|---|
| Price | 50% | 52 | 36 |
| Inputs & features | 30% | 70 | 80 |
| Context window | 20% | 12 | 32 |
| Overall | 100% | 49/100 | 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 | GLM-4.5VZ.ai (Zhipu) | Claude Haiku 4.5Anthropic |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 142.4 |
| ECI rank | — | #90 of 148 |
| GPQA DiamondGraduate-level science questions | — | 71.2% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 66.7% |
| SimpleQA VerifiedShort factual questions | — | 13.2% |
| Price per million tokens | ||
| Input | $0.60 (best) | $1.00 |
| Output | $1.80 (best) | $5.00 |
| Cached input | — | $0.10 |
| Blended (3:1) | $0.90 (best) | $2.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Anthropic API |
| Limits | ||
| Context window | 64,000 tokens | 200,000 tokens (best) |
| Max output | 16,384 tokens | 64,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | glm-4.5v | claude-haiku-4-5 |
| API providers | 11 | 34 (best) |
| Released | Aug 11, 2025 | Oct 15, 2025 |
| Knowledge cutoff | Apr 2025 | Feb 28, 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- GLM-4.5V$9.60
- Claude Haiku 4.5$20.00
Which should you choose?
Which is better: GLM-4.5V or Claude Haiku 4.5?
It is close. Our weighted score puts them within 1 points (GLM-4.5V 49/100, Claude Haiku 4.5 48/100), so choose by what matters most for your work: GLM-4.5V on price and Claude Haiku 4.5 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, GLM-4.5V or Claude Haiku 4.5?
GLM-4.5V is cheaper at $0.60 input / $1.80 output per million tokens (official Z.AI API price). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic API price). At a typical mix of three input tokens to one output token, that is $0.90 per million tokens for GLM-4.5V versus $2.00 for Claude Haiku 4.5 (2.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. GLM-4.5V has not been scored yet and Claude Haiku 4.5 has an ECI of 142.4.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.5V and Claude Haiku 4.5 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?
Claude Haiku 4.5 has the largest context window at 200,000 tokens, against 64,000 for GLM-4.5V. Maximum output per response: GLM-4.5V up to 16,384, Claude Haiku 4.5 up to 64,000 tokens.
Which can read images, PDFs, audio or video?
GLM-4.5V accepts text, images and video; Claude Haiku 4.5 accepts text, images and PDFs. They handle the same number of input types.
Are any of these open source?
GLM-4.5V publishes its weights and can be self-hosted; Claude Haiku 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 2025. GLM-4.5V came out Aug 11, 2025. Knowledge cutoff: GLM-4.5V Apr 2025, Claude Haiku 4.5 Feb 28, 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.
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