DeepSeek-V4-Flash-Vision-Exp vs GLM-5.3-Flash
Why this pair: Open-weight multimodal models with million-token context windows
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Flash-Vision-Exp | GLM-5.3-Flash |
|---|---|---|
| LiveBench2026-06-25 · overall · leader | 79.67100% of row best · percent · deepseek-v4-flash-vision-exp · 52,644 output tokens / case | 73.2792% of row best · percent · glm-5.3-flash · 34,707 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Flash-Vision-Exp | GLM-5.3-Flash |
|---|---|---|
| Developer | DeepSeek | Z.ai |
| Family | Deepseek V4 Flash Vision Exp | Glm 5 3 Flash |
| Model | DeepSeek-V4-Flash-Vision-Exp | GLM-5.3-Flash |
| Version | DeepSeek-V4-Flash-Vision-Exp | GLM-5.3-Flash |
| Lifecycle | preview | active |
| Released | 2026-08-21 | 2026-09-02 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image, Video, Document |
| Output modalities | Text | Text |
| Context window | 1,048,576 | 1,000,000 |
| Total parameters | 304,646,824,126 | 320,000,000,000 |
| Active parameters | Unknown | 18,000,000,000 |
| License | mit | MIT |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard) | Deepinfra (Standard), Z.ai (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
16 comparable fields · 12 material differences · Editorially curated pair passes the primary-source comparison gate
DeepSeek-V4-Flash-Vision-Exp Capabilities
GLM-5.3-Flash Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4-Flash-Vision-ExpDeepSeek | family variantstext |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
 Qwen3.8-27BQwen | vs | DeepSeek-V4-Flash-Vision-ExpDeepSeek | cross-developer peersimage, text |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-Flash-Vision-ExpDeepSeek | cross-developer peersimage, text |
GLM-5.3-FlashZ.ai | vs | GLM-5V-TurboZ.ai | family variantsimage, text, video |
 Nova 2 LiteAmazon | vs | GLM-5.3-FlashZ.ai | cross-developer peersimage, text, video |
 Mistral Large 3Mistral AI | vs | GLM-5.3-FlashZ.ai | cross-developer peersimage, text |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
 Command A VisionCohere | vs | GLM-5.3-FlashZ.ai | cross-developer peersimage, text |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Qwen3.7-PlusQwen | cross-developer peersimage, text |
GLM-OCRZ.ai | vs | GLM-5.3-FlashZ.ai | family variantsimage, text |
Primary Evidence
Sources and Freshness
Questions
DeepSeek-V4-Flash-Vision-Exp vs GLM-5.3-Flash FAQs
Is DeepSeek-V4-Flash-Vision-Exp or GLM-5.3-Flash better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek-V4-Flash-Vision-Exp 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-Flash-Vision-Exp or GLM-5.3-Flash?+
DeepSeek-V4-Flash-Vision-Exp is $0.22 and GLM-5.3-Flash is $0.075 per million tokens, so GLM-5.3-Flash is cheaper on this metric. DeepSeek-V4-Flash-Vision-Exp is $0.66 and GLM-5.3-Flash is $0.25 per million tokens, so GLM-5.3-Flash is cheaper on this metric.
Which has a larger context window, DeepSeek-V4-Flash-Vision-Exp or GLM-5.3-Flash?+
DeepSeek-V4-Flash-Vision-Exp has the larger sourced context window. DeepSeek-V4-Flash-Vision-Exp supports 1,048,576 and GLM-5.3-Flash supports 1,000,000.
Which performs better in benchmarks, DeepSeek-V4-Flash-Vision-Exp 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-Flash-Vision-Exp or GLM-5.3-Flash be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek-V4-Flash-Vision-Exp is open weight; GLM-5.3-Flash is open weight.
Can DeepSeek-V4-Flash-Vision-Exp and GLM-5.3-Flash understand images?+
DeepSeek-V4-Flash-Vision-Exp is 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-Flash-Vision-Exp or GLM-5.3-Flash?+
DeepSeek-V4-Flash-Vision-Exp has the larger sourced maximum output: DeepSeek-V4-Flash-Vision-Exp supports 393,216 and GLM-5.3-Flash supports 131,072 output tokens.
Do DeepSeek-V4-Flash-Vision-Exp and GLM-5.3-Flash support reasoning and tool use?+
DeepSeek-V4-Flash-Vision-Exp: reasoning, tool calling, and image input. 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-Flash-Vision-Exp or GLM-5.3-Flash?+
DeepSeek-V4-Flash-Vision-Exp has 1 sourced provider route; GLM-5.3-Flash has 2, so GLM-5.3-Flash has broader tracked availability.
Which offers better value, DeepSeek-V4-Flash-Vision-Exp 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.