Claude Haiku 4.5 Turbo vs GLM-4.6 Instruct: which model should you choose?
We compared Claude Haiku 4.5 Turbo and GLM-4.6 Instruct on price, context window and 12 benchmarks. GLM-4.6 Instruct has the stronger average benchmark score; GLM-4.6 Instruct is cheaper on a blended 3:1 basis.
Claude Haiku 4.5 Turbo
Claude Haiku 4.5 Turbo is a multimodal model from Anthropic. It offers a 200,000-token context window, costs $14.37 per million input tokens and $54.76 per million output tokens, and averages 80.0 across the index's benchmark suite.
- Input
- $14.37 / 1M
- Output
- $54.76 / 1M
- Context
- 200,000
- Avg score
- 80.0
- Open weights
- No
GLM-4.6 Instruct
GLM-4.6 Instruct is a multimodal model from Zhipu AI. It offers a 1,000,000-token context window, costs $5.15 per million input tokens and $24.32 per million output tokens, and averages 80.4 across the index's benchmark suite.
- Input
- $5.15 / 1M
- Output
- $24.32 / 1M
- Context
- 1,000,000
- Avg score
- 80.4
- Open weights
- Yes
Specification comparison
| Spec | Claude Haiku 4.5 Turbo | GLM-4.6 Instruct | Edge |
|---|---|---|---|
| Input price / 1M | $14.37 | $5.15 | B |
| Output price / 1M | $54.76 | $24.32 | B |
| Context window | 200,000 | 1,000,000 | B |
| Max output | 32,768 | 128,000 | B |
| Average score | 80.0 | 80.4 | B |
| Arena Elo | 1434.5 | 1426.6 | A |
| Open weights | No | Yes | B |
Benchmark comparison
Claude Haiku 4.5 Turbo wins 3, GLM-4.6 Instruct wins 8, and 1 benchmarks are tied. The table shows the modelled score for each model and the gap.
| Benchmark | Claude Haiku 4.5 Turbo | GLM-4.6 Instruct | Gap | Winner |
|---|---|---|---|---|
| MMLU-Pro | 80.6 | 80.6 | 0.0 | Tie |
| GPQA Diamond | 75.1 | 75.8 | 0.7 | GLM-4.6 Instruct |
| SWE-bench Verified | 68.4 | 70.5 | 2.1 | GLM-4.6 Instruct |
| HumanEval | 87.0 | 85.3 | 1.7 | Claude Haiku 4.5 Turbo |
| MATH-500 | 83.7 | 84.9 | 1.2 | GLM-4.6 Instruct |
| AIME 2025 | 79.2 | 74.5 | 4.7 | Claude Haiku 4.5 Turbo |
| LiveCodeBench | 71.7 | 72.6 | 0.9 | GLM-4.6 Instruct |
| IFEval | 87.1 | 87.4 | 0.3 | GLM-4.6 Instruct |
| TruthfulQA | 81.0 | 83.8 | 2.8 | GLM-4.6 Instruct |
| HellaSwag | 88.1 | 90.6 | 2.5 | GLM-4.6 Instruct |
| MMMU | 77.7 | 78.9 | 1.2 | GLM-4.6 Instruct |
| Arena Elo | 1434.5 | 1426.6 | 7.9 | Claude Haiku 4.5 Turbo |
Price analysis
On a blended 3:1 input-to-output basis, Claude Haiku 4.5 Turbo costs about $24.47 per million tokens and GLM-4.6 Instruct costs about $9.94. GLM-4.6 Instruct is roughly 59% cheaper than Claude Haiku 4.5 Turbo. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.
GLM-4.6 Instruct has the larger context window at 1,000,000 tokens, compared with 200,000 for Claude Haiku 4.5 Turbo. That matters for long documents, large codebases and multi-step agent traces.
Verdict
Across 12 shared benchmarks, Claude Haiku 4.5 Turbo wins 3, GLM-4.6 Instruct wins 8, and 1 are tied. On the index average, GLM-4.6 Instruct leads Claude Haiku 4.5 Turbo by 0.4 points (80.4 versus 80.0).
The price picture favours GLM-4.6 Instruct. The context picture favours GLM-4.6 Instruct. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.
If you need a single default, start with GLM-4.6 Instruct for quality-sensitive work, and check whether its price holds at your expected volume before committing.
Choose Claude Haiku 4.5 Turbo if
- You prefer Anthropic's tooling or already use it.
Choose GLM-4.6 Instruct if
- You want the higher average benchmark score in this index.
- Unit cost matters and you want the cheaper blended price.
- You need the larger 1,000,000-token context window.
- You need the larger 128,000-token output limit.
FAQ
Is Claude Haiku 4.5 Turbo better than GLM-4.6 Instruct?
On the index average, GLM-4.6 Instruct leads Claude Haiku 4.5 Turbo by 0.4 points (80.4 versus 80.0). The better choice depends on price, context and your task. Claude Haiku 4.5 Turbo wins 3 benchmarks, GLM-4.6 Instruct wins 8.
Which is cheaper, Claude Haiku 4.5 Turbo or GLM-4.6 Instruct?
GLM-4.6 Instruct is cheaper on a blended 3:1 basis at about $9.94 per million tokens, versus $24.47 for Claude Haiku 4.5 Turbo.
Which has the larger context window?
GLM-4.6 Instruct has the larger context window at 1,000,000 tokens. Claude Haiku 4.5 Turbo has 200,000 tokens.
Are these models open weights?
Claude Haiku 4.5 Turbo is proprietary; GLM-4.6 Instruct is open weights.
Which should I choose for production?
If you need a single default, start with GLM-4.6 Instruct for quality-sensitive work, and check whether its price holds at your expected volume before committing.