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DeepSeek-V4-Flash-Vision-Exp vs Qwen3.8-Flash-Next

DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next are closely matched at 47.0 and 49.2 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 47.0 and 49.2.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-Vision-Exp

  • you want predictable pricing at $0.22/M input and $0.66/M output

Choose Qwen3.8-Flash-Next

  • you want the most recent training data — it shipped Aug 2026
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
47.0
#24
49.2
#19
43.5
#38
48.9
#18
35.2
#28
36.1
#21
32.7
#22
34.7
#18
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Vision-Exp
Qwen3.8-Flash-Next
25.6#31
30.7#13
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 22 for Qwen3.8-Flash-Next

2 shared

DeepSeek-V4-Flash-Vision-Exp outperforms in 1 benchmarks (NL2Repo), while Qwen3.8-Flash-Next is better at 1 benchmark (Agents' Last Exam).

Both models are evenly matched across the benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only DeepSeek-V4-Flash-Vision-Exp specifies input context (1,048,576 tokens). Only DeepSeek-V4-Flash-Vision-Exp specifies output context (393,216 tokens).

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Qwen3.8-Flash-Next was released on 2026-08-26.

Qwen3.8-Flash-Next is 0 month newer than DeepSeek-V4-Flash-Vision-Exp.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

2 weeks ago

Qwen3.8-Flash-Next

Aug 26, 2026

1 weeks ago

5d newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Qwen3.8-Flash-Next.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Qwen3.8-Flash-Next?

DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 47.0 and 49.2. DeepSeek-V4-Flash-Vision-Exp is made by DeepSeek and Qwen3.8-Flash-Next is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does DeepSeek-V4-Flash-Vision-Exp compare to Qwen3.8-Flash-Next in benchmarks?

DeepSeek-V4-Flash-Vision-Exp scores Terminal-Bench 2.1: 83.9%, DSBench-Hard: 63.6%, DeepSWE: 59.3%, NL2Repo: 57.7%, ZEROBench: 35.0%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Qwen3.8-Flash-Next supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (47.0 vs 49.2), licensing (Unknown vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-Flash-Next?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.