LLM Comparison
GLM-5.3-Flash vs Olmo 3.1 32B Instruct
Side-by-side specs, pricing & capabilities · Updated September 2026
Price vs Intelligence
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2/6 modelsSame tier:
| Organization | ||
| OpenTools Score | 72 445 | 18 44.2 |
| Family | GLM | Olmo |
| Status | Current | Current |
| Release Date | Aug 2026 | Jan 2026 |
| Context Window | 1.3M tokens | 66K tokens |
| Input Price | $0.07/M tokens | $0.20/M tokens |
| Output Price | $0.25/M tokens | $0.60/M tokens |
| Pricing Notes | OpenRouter lists a limited-time discounted price of $0.075/M input and $0.25/M output. Standard first-party style pricing is commonly $0.15/M input and $0.50/M output; cache-read pricing may vary by provider. | — |
| Capabilities | textvisionvideo-inputcodetool-usereasoninglong-contextopen-weights | textcode |
| Training Cutoff | Not disclosed | — |
| Max Output | 131K tokens | — |
| API Identifier | z-ai/glm-5.3-flash | allenai/olmo-3.1-32b-instruct |
| Benchmarks | ||
| Artificial Analysis Intelligence Index v4.1.1 | 57artificial-analysis | — |
| MMLU | 88.1official | 80.9https://huggingface.co/allenai/Olmo-3.1-32B-Instruct |
| Artificial Analysis Intelligence Index v4.3 | 41.9074artificial-analysis | — |
| GPQA Diamond | 91.2121artificial-analysis | 53.9394artificial-analysis |
| SciCode | 51.6204artificial-analysis | — |
| Terminal-Bench 2.1 | 84.2697artificial-analysis | — |
| GPQA | — | 48.6https://huggingface.co/allenai/Olmo-3.1-32B-Instruct |
| View GLM-5.3-Flash | View Olmo 3.1 32B Instruct | |
Cost Calculator
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| Model | Input | Output | Total / mo | vs Best |
|---|---|---|---|---|
| GLM-5.3-FlashCheapest | $0.08 | $0.13 | $0.20 | — |
| Olmo 3.1 32B Instruct | $0.20 | $0.30 | $0.50 | +150% |
Z.ai
GLM-5.3-Flash
GLM-5.3-Flash is Z.ai’s open-weight GLM-5 model for efficient coding, long-horizon agent tasks, and long-context multimodal reasoning. It uses a hybrid sparse and linear attention design with 320B total parameters and 18B active parameters.
AllenAI
Olmo 3.1 32B Instruct
Olmo 3.1 32B Instruct is a large language model from AllenAI. Supports up to 65,536 token context window. Available from $0.20/M input tokens.
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