DeepSeek V4.1 Flash 1017 versus GLM-5.3
DeepSeek V4.1 Flash 1017 (DeepSeek) and GLM-5.3 (Zhipu AI (Z.ai)) compared point by point: measured performance, pricing, context and capabilities.
Data as of October 22, 2026
Side-by-side comparison
| Criterion | DeepSeek V4.1 Flash 1017 | GLM-5.3 |
|---|---|---|
| Developer | DeepSeek | Zhipu AI (Z.ai) |
| Released | October 17, 2026 | August 14, 2026 |
| Capability index | 90.6 / 100 | 78.8 / 100 |
| Input price | $0.15 | $1.2 |
| Output price | $0.60 | $4.18 |
| Cost of a typical task | $0.004 | $0.032 |
| Context window | 1,048,576 tokens | 1,000,000 tokens |
| Maximum output | 393,216 tokens | 131,072 tokens |
| Reasoning mode | Yes | Yes |
| Tool calling | Yes | Yes |
| Accepted inputs | text, image | text |
| Open weights | Yes | Yes |
| Knowledge cutoff | May 2025 | Not disclosed |
What are we comparing?
DeepSeek V4.1 Flash 1017 and GLM-5.3 are two open-weight models that you can install on your own servers, one from DeepSeek, the other from Zhipu AI (Z.ai). DeepSeek V4.1 Flash 1017 was released on October 17, 2026, GLM-5.3 on August 14, 2026.
All figures below come from public sources checked on October 22, 2026: models.dev and OpenRouter for prices and capabilities, Epoch AI for scores.
Performance
On our capability index, DeepSeek V4.1 Flash 1017 scores 90.6 out of 100 and GLM-5.3 78.8. DeepSeek V4.1 Flash 1017 leads by 11.8 points.
On the 3 benchmarks reported for both, DeepSeek V4.1 Flash 1017 wins 3 times and GLM-5.3 0:
- GPQA Diamond (PhD-level science questions): DeepSeek V4.1 Flash 1017 93.2%, GLM-5.3 90.9%
- OTIS Mock AIME (competition mathematics problems): DeepSeek V4.1 Flash 1017 99.4%, GLM-5.3 91.1%
- FrontierMath (very hard research-level mathematics): DeepSeek V4.1 Flash 1017 71.2%, GLM-5.3 68.8%
Pricing
DeepSeek V4.1 Flash 1017 costs $0.15 per million input tokens and $0.60 per million output tokens; GLM-5.3 costs $1.2 and $4.18.
For a typical agent task (read 20,000 tokens, write 2,000), expect $0.004 with DeepSeek V4.1 Flash 1017 versus $0.032 with GLM-5.3. DeepSeek V4.1 Flash 1017 is 7.7 times cheaper, a gap that adds up quickly over 1,000 tasks: $28.07 difference.
Run the numbers with your own volumes in the agent cost calculator.
Features and limits
DeepSeek V4.1 Flash 1017 reads more in one go: 1,048,576 tokens of context (roughly 1,573 pages), versus 1,000,000 for GLM-5.3.
Reasoning mode: DeepSeek V4.1 Flash 1017 yes, GLM-5.3 yes. Tool calling: DeepSeek V4.1 Flash 1017 yes, GLM-5.3 yes. Image input: DeepSeek V4.1 Flash 1017 yes, GLM-5.3 no.
Both publish their weights: you can host them yourself.
In short
Our reading of the data:
- Choose DeepSeek V4.1 Flash 1017 for a higher capability index, a lower cost, a more recent release and image input.
This verdict relies on public figures; it does not replace a trial on your own tasks.
Other comparisons
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- DeepSeek V4.1 Flash 1017 vs DeepSeek V4 Pro 0813
- DeepSeek V4.1 Flash 1017 vs Qwen3.6 27B
- DeepSeek V4.1 Flash 1017 vs GLM-5.3-Flash
Frequently asked questions
DeepSeek V4.1 Flash 1017 or GLM-5.3: which is better?
On our index (Epoch AI data), DeepSeek V4.1 Flash 1017 scores 90.6 and GLM-5.3 78.8 out of 100. The best choice also depends on price and on your use case.
Which one is cheaper?
DeepSeek V4.1 Flash 1017. To read 20,000 tokens and write 2,000, expect $0.004 with DeepSeek V4.1 Flash 1017 and $0.032 with GLM-5.3 (prices as of October 22, 2026).
Which one has the larger context window?
DeepSeek V4.1 Flash 1017, with 1,048,576 tokens versus 1,000,000.
Can I run DeepSeek V4.1 Flash 1017 or GLM-5.3 on my own servers?
Yes, both publish their weights. Check each license before commercial use.
Data sources
- Models.dev — Model data: models.dev (open-source project)
- OpenRouter — Market prices cross-checked with OpenRouter
- Epoch AI — AI Benchmarking Hub — Epoch AI, “AI Benchmarking Hub”, epoch.ai, CC BY 4.0
Data as of October 22, 2026
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