DeepSeek-V4-Flash-Vision-Exp vs Llama-4-Maverick-17B-128E-Instruct
Benchmark Performance
Available Benchmarks
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Flash-Vision-Exp | Llama-4-Maverick-17B-128E-Instruct |
|---|---|---|
| Developer | DeepSeek | Meta |
| Family | Deepseek V4 Flash Vision Exp | Llama 4 Maverick 17b 128e Instruct |
| Model | DeepSeek-V4-Flash-Vision-Exp | Llama-4-Maverick-17B-128E-Instruct |
| Version | DeepSeek-V4-Flash-Vision-Exp | Llama-4-Maverick-17B-128E-Instruct |
| Lifecycle | preview | active |
| Released | 2026-08-21 | 2025-04-05 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,048,576 | 1,000,000 |
| Total parameters | 304,646,824,126 | 401,583,781,376 |
| Active parameters | Unknown | 17,000,000,000 |
| License | mit | other |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard) | Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, structured_outputs, tools | chat, generation, tools |
16 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
DeepSeek-V4-Flash-Vision-Exp Capabilities
Llama-4-Maverick-17B-128E-Instruct 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 |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs |  GLM-5.3-FlashZ.ai | cross-developer peersimage, text |
 Qwen3.8-27BQwen | vs | DeepSeek-V4-Flash-Vision-ExpDeepSeek | cross-developer peersimage, text |
| vs |  Hy4 previewTencent | cross-developer peerstext | |
| vs | family variantsimage, text | ||
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Qwen3.7 FlashQwen | cross-developer peersimage, text |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Qwen3 VL FlashQwen | cross-developer peersimage, text |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs | Qwen3.8-MaxQwen | cross-developer peersimage, text |
DeepSeek-V4-Flash-Vision-ExpDeepSeek | vs |  o3-proOpenai | cross-developer peersimage, text |
| vs | family variantsimage, text | ||
| vs | family variantsimage, text |
Primary Evidence
Sources and Freshness
Questions
DeepSeek-V4-Flash-Vision-Exp vs Llama-4-Maverick-17B-128E-Instruct FAQs
Is DeepSeek-V4-Flash-Vision-Exp or Llama-4-Maverick-17B-128E-Instruct better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek-V4-Flash-Vision-Exp and Llama-4-Maverick-17B-128E-Instruct, 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 Llama-4-Maverick-17B-128E-Instruct?+
DeepSeek-V4-Flash-Vision-Exp is $0.22 and Llama-4-Maverick-17B-128E-Instruct is $0.20 per million tokens, so Llama-4-Maverick-17B-128E-Instruct is cheaper on this metric. DeepSeek-V4-Flash-Vision-Exp is $0.66 and Llama-4-Maverick-17B-128E-Instruct is $0.696 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 Llama-4-Maverick-17B-128E-Instruct?+
DeepSeek-V4-Flash-Vision-Exp has the larger sourced context window. DeepSeek-V4-Flash-Vision-Exp supports 1,048,576 and Llama-4-Maverick-17B-128E-Instruct supports 1,000,000.
Which performs better in benchmarks, DeepSeek-V4-Flash-Vision-Exp or Llama-4-Maverick-17B-128E-Instruct?+
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 Llama-4-Maverick-17B-128E-Instruct be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek-V4-Flash-Vision-Exp is open weight; Llama-4-Maverick-17B-128E-Instruct is open weight.
Can DeepSeek-V4-Flash-Vision-Exp and Llama-4-Maverick-17B-128E-Instruct understand images?+
DeepSeek-V4-Flash-Vision-Exp is documented with image input; Llama-4-Maverick-17B-128E-Instruct is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek-V4-Flash-Vision-Exp or Llama-4-Maverick-17B-128E-Instruct?+
Neither has a larger sourced maximum output. DeepSeek-V4-Flash-Vision-Exp is 393,216 and Llama-4-Maverick-17B-128E-Instruct is —.
Do DeepSeek-V4-Flash-Vision-Exp and Llama-4-Maverick-17B-128E-Instruct support reasoning and tool use?+
DeepSeek-V4-Flash-Vision-Exp: reasoning, tool calling, and image input. Llama-4-Maverick-17B-128E-Instruct: 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 Llama-4-Maverick-17B-128E-Instruct?+
DeepSeek-V4-Flash-Vision-Exp has 3 sourced provider routes; Llama-4-Maverick-17B-128E-Instruct has 1, so DeepSeek-V4-Flash-Vision-Exp has broader tracked availability.
Which offers better value, DeepSeek-V4-Flash-Vision-Exp or Llama-4-Maverick-17B-128E-Instruct?+
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.