DeepSeek V4 Pro Base vs GLM 5.3 Flash
At a Glance
| Compare |  DeepSeek V4 Pro BaseDeepSeek |  GLM 5.3 FlashZ.ai |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #29 of 4654.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 36.4–69.8 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #2 of 44$0.0087 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #1 of 3877.3 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 68.2–84.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.075Z.ai ↗ · Aug 29, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.25Z.ai ↗ · Aug 29, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Sep 2, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4-Pro-Base | GLM-5.3-Flash |
|---|---|---|
| Developer | DeepSeek | Z.ai |
| Family | Deepseek V4 Pro Base | Glm 5 3 Flash |
| Model | DeepSeek-V4-Pro-Base | GLM-5.3-Flash |
| Version | DeepSeek-V4-Pro-Base | GLM-5.3-Flash |
| Lifecycle | active | active |
| Released | 2026-04-24 | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | 1.6T | 320B |
| Active parameters | Unknown | 18B |
| License | Unknown | MIT |
| Open weights | Yes | Yes |
| API available | Unknown | Yes |
| Self-hostable | Yes | Yes |
| Provider access | Unknown | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard), Z.ai (Standard) |
| Capabilities | generation | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
DeepSeek V4 Pro Base Capabilities
GLM 5.3 Flash Capabilities
Related Comparisons
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|---|---|---|---|
DeepSeek-V4-Pro-BaseDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-Pro-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Pro-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs | GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Pro-BaseDeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-BaseDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro Base vs GLM 5.3 Flash FAQs
Is DeepSeek V4 Pro Base or GLM 5.3 Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro Base and GLM 5.3 Flash, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro Base or GLM 5.3 Flash?+
Only GLM 5.3 Flash has a directly sourced input price: $0.075 per million tokens. Only GLM 5.3 Flash has a directly sourced output price: $0.25 per million tokens.
Which has a larger context window, DeepSeek V4 Pro Base or GLM 5.3 Flash?+
DeepSeek V4 Pro Base has the larger sourced context window. DeepSeek V4 Pro Base supports 1,049K and GLM 5.3 Flash supports 1,000K.
Which performs better in benchmarks, DeepSeek V4 Pro Base or GLM 5.3 Flash?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Pro Base or GLM 5.3 Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Pro Base is open weight; GLM 5.3 Flash is open weight.
Can DeepSeek V4 Pro Base and GLM 5.3 Flash understand images?+
DeepSeek V4 Pro Base is not documented with image input; GLM 5.3 Flash is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro Base or GLM 5.3 Flash?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro Base is — and GLM 5.3 Flash is 131K.
Do DeepSeek V4 Pro Base and GLM 5.3 Flash support reasoning and tool use?+
DeepSeek V4 Pro Base: none of these features are definitively sourced. GLM 5.3 Flash: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro Base or GLM 5.3 Flash?+
DeepSeek V4 Pro Base has 0 sourced provider routes; GLM 5.3 Flash has 4, so GLM 5.3 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Pro Base or GLM 5.3 Flash?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.