GLM-4.7 vs Claude Haiku 4.5 vs Qwen3 30B-A3B Instruct 2507
Too close to call on our weighted score (Qwen3 30B-A3B Instruct 2507 59, Claude Haiku 4.5 57, GLM-4.7 55). The right pick depends on what you value most.
Z.ai (Zhipu)GLM-4.7
55/100- ECI143.7
- Price$0.60 / $2.20
- Context205K
AnthropicClaude Haiku 4.5
57/100- ECI142.2
- Price$1.00 / $5.00
- Context200K
Alibaba (Qwen)Qwen3 30B-A3B Instruct 2507
59/100- ECI137.3
- Price$0.10 / $0.30
- Context262K
Too close to call
It is close. Our weighted score puts them within 2 points (Qwen3 30B-A3B Instruct 2507 59/100, Claude Haiku 4.5 57/100, GLM-4.7 55/100), so choose by what matters most for your work: GLM-4.7 for raw capability, Qwen3 30B-A3B Instruct 2507 on price and Qwen3 30B-A3B Instruct 2507 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityGLM-4.7Capabilities Index (ECI): GLM-4.7 143.7 · Claude Haiku 4.5 142.2 · Qwen3 30B-A3B Instruct 2507 137.3
- Lowest priceQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 $0.15 · GLM-4.7 $1.00 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend)
- Longest contextQwen3 30B-A3B Instruct 2507Qwen3 30B-A3B Instruct 2507 262,144 · GLM-4.7 204,800 · Claude Haiku 4.5 200,000 tokens
- Widest inputsClaude Haiku 4.5GLM-4.7: Text · Claude Haiku 4.5: Text, Images, PDFs · Qwen3 30B-A3B Instruct 2507: Text
- Self-hostingGLM-4.7 and Qwen3 30B-A3B Instruct 2507Publishes downloadable weights (Apache 2.0)
| Measure | Weight | GLM-4.7 | Claude Haiku 4.5 | Qwen3 30B-A3B Instruct 2507 |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 69 | 67 | 61 |
| Price | 25% | 48 | 34 | 85 |
| Inputs & features | 15% | 35 | 80 | 25 |
| Context window | 10% | 32 | 32 | 37 |
| Overall | 100% | 55/100 | 57/100 | 59/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | GLM-4.7Z.ai (Zhipu) | Claude Haiku 4.5Anthropic | Qwen3 30B-A3B Instruct 2507Alibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 143.7 (best) | 142.2 | 137.3 |
| ECI rank | #94 of 165 (best) | #102 of 165 | #124 of 165 |
| GPQA DiamondGraduate-level science questions | 83.3% (best) | 71.2% | 55.6% |
| OTIS Mock AIME 2024–2025Competition mathematics | 83.3% (best) | 66.7% | 62.2% |
| SimpleQA VerifiedShort factual questions | 32.2% (best) | 13.2% | — |
| Price per million tokens | |||
| Input | $0.60 | $1.00 | $0.10 (best) |
| Output | $2.20 | $5.00 | $0.30 (best) |
| Cached input | $0.11 | $0.10 (best) | — |
| Blended (3:1) | $1.00 | $2.00 | $0.15 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Z.AI API | Official Anthropic API | Median of 12 providers |
| Limits | |||
| Context window | 204,800 tokens | 200,000 tokens | 262,144 tokens (best) |
| Max output | 131,072 tokens (best) | 64,000 tokens | 16,384 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | OpenApache 2.0 |
| API model ID | glm-4.7 | claude-haiku-4-5 | — |
| API providers | 31 | 48 (best) | 14 |
| Released | Dec 22, 2025 | Oct 15, 2025 | Jul 28, 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-4.7$10.40
- Claude Haiku 4.5$20.00
- Qwen3 30B-A3B Instruct 2507$1.60
Which should you choose?
Which is better: GLM-4.7, Claude Haiku 4.5 or Qwen3 30B-A3B Instruct 2507?
It is close. Our weighted score puts them within 2 points (Qwen3 30B-A3B Instruct 2507 59/100, Claude Haiku 4.5 57/100, GLM-4.7 55/100), so choose by what matters most for your work: GLM-4.7 for raw capability, Qwen3 30B-A3B Instruct 2507 on price and Qwen3 30B-A3B Instruct 2507 for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, GLM-4.7, Claude Haiku 4.5 or Qwen3 30B-A3B Instruct 2507?
Qwen3 30B-A3B Instruct 2507 is cheaper at $0.10 input / $0.30 output per million tokens (median across 12 API providers). GLM-4.7 costs $0.60 input / $2.20 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 $0.15 per million tokens for Qwen3 30B-A3B Instruct 2507 versus $1.00 for GLM-4.7 (6.7× as much) and $2.00 for Claude Haiku 4.5 (13× as much).
Which scores higher on benchmarks?
GLM-4.7 scores higher on the Capabilities Index (ECI): GLM-4.7 143.7 (#94 of 165), Claude Haiku 4.5 142.2 (#102 of 165) and Qwen3 30B-A3B Instruct 2507 137.3 (#124 of 165). The confidence ranges of the top two overlap (141.4–145.8 vs 139.4–143.9), so treat the gap as small. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, Claude Haiku 4.5 71.2%, Qwen3 30B-A3B Instruct 2507 55.6%; OTIS Mock AIME 2024–2025 — GLM-4.7 83.3%, Claude Haiku 4.5 66.7%, Qwen3 30B-A3B Instruct 2507 62.2%.
Which is better for coding?
There are no published SWE-bench Verified results for GLM-4.7, Claude Haiku 4.5 and Qwen3 30B-A3B Instruct 2507 yet, so there is no like-for-like coding score. On overall capability, GLM-4.7 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Qwen3 30B-A3B Instruct 2507 has the largest context window at 262,144 tokens, against 204,800 for GLM-4.7 and 200,000 for Claude Haiku 4.5. Maximum output per response: GLM-4.7 up to 131,072, Claude Haiku 4.5 up to 64,000, Qwen3 30B-A3B Instruct 2507 up to 16,384 tokens.
Which can read images, PDFs, audio or video?
GLM-4.7 accepts text; Claude Haiku 4.5 accepts text, images and PDFs; Qwen3 30B-A3B Instruct 2507 accepts text. Claude Haiku 4.5 handles the widest range of inputs.
Are any of these open source?
GLM-4.7 and Qwen3 30B-A3B Instruct 2507 publishes its weights (Apache 2.0) and can be self-hosted; Claude Haiku 4.5 is proprietary.
Which is newer?
GLM-4.7 is the newest, released Dec 22, 2025. Claude Haiku 4.5 came out Oct 15, 2025; Qwen3 30B-A3B Instruct 2507 came out Jul 28, 2025. Knowledge cutoff: GLM-4.7 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 Nov 2, 2026.
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