DeepSeek V4 Flash Vision Exp vs GLM 5.1
At a Glance
| Compare |  DeepSeek V4 Flash Vision ExpDeepSeek |  GLM 5.1Z.ai |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.22DeepSeek ↗ · Sep 2, 2026 | $1.05Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | $0.66DeepSeek ↗ · Sep 2, 2026 | $3.50Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | 1,049K | 203K |
| Model facts checked | Sep 2, 2026View model evidence → | Aug 28, 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-Flash-Vision-Exp | GLM-5.1 |
|---|---|---|
| Developer | DeepSeek | Z.ai |
| Family | Deepseek V4 Flash Vision Exp | Glm 5 1 |
| Model | DeepSeek-V4-Flash-Vision-Exp | GLM-5.1 |
| Version | DeepSeek-V4-Flash-Vision-Exp | GLM-5.1 |
| Lifecycle | retired | active |
| Released | 2026-08-21 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 203K |
| Total parameters | 304.6B | 753.9B |
| Active parameters | Unknown | Unknown |
| License | mit | mit |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, reasoning, tools |
DeepSeek V4 Flash Vision Exp Capabilities
GLM 5.1 Capabilities
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Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash Vision Exp vs GLM 5.1 FAQs
Is DeepSeek V4 Flash Vision Exp or GLM 5.1 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash Vision Exp and GLM 5.1, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Flash Vision Exp or GLM 5.1?+
DeepSeek V4 Flash Vision Exp is $0.22 and GLM 5.1 is $1.05 per million tokens, so DeepSeek V4 Flash Vision Exp is cheaper on this metric. DeepSeek V4 Flash Vision Exp is $0.66 and GLM 5.1 is $3.50 per million tokens, so DeepSeek V4 Flash Vision Exp is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Flash Vision Exp or GLM 5.1?+
DeepSeek V4 Flash Vision Exp has the larger sourced context window. DeepSeek V4 Flash Vision Exp supports 1,049K and GLM 5.1 supports 203K.
Which performs better in benchmarks, DeepSeek V4 Flash Vision Exp or GLM 5.1?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4 Flash Vision Exp or GLM 5.1 be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4 Flash Vision Exp is open weight; GLM 5.1 is open weight.
Can DeepSeek V4 Flash Vision Exp and GLM 5.1 understand images?+
DeepSeek V4 Flash Vision Exp is documented with image input; GLM 5.1 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Flash Vision Exp or GLM 5.1?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash Vision Exp is 393K and GLM 5.1 is —.
Do DeepSeek V4 Flash Vision Exp and GLM 5.1 support reasoning and tool use?+
DeepSeek V4 Flash Vision Exp: reasoning, tool calling, and image input. GLM 5.1: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Flash Vision Exp or GLM 5.1?+
DeepSeek V4 Flash Vision Exp has 3 sourced provider routes; GLM 5.1 has 4, so GLM 5.1 has broader tracked availability.
Which offers better value, DeepSeek V4 Flash Vision Exp or GLM 5.1?+
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.