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DeepSeek-V4-Flash-Vision-Exp vs Qwen3.8-27B

DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-27B are closely matched at 47.0 and 45.2 on the LLM Stats Score.

DeepSeek · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-27B are closely matched on the overall LLM Stats Score at 47.0 and 45.2.

In the 3 individual benchmarks reported for both models, DeepSeek-V4-Flash-Vision-Exp wins 2; this is a narrower head-to-head signal than the composite indexes.

DeepSeek-V4-Flash-Vision-Exp also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose DeepSeek-V4-Flash-Vision-Exp

  • you value its reported benchmark strengths — it wins 2 of 3 exact shared results
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Qwen3.8-27B

  • 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
45.2
#30
43.5
#38
44.8
#30
35.2
#28
31.6
#39
32.7
#22
30.4
#31
Cost, coverage & limits
Benchmark wins
2 of 3
1 of 3
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
DeepSeek-V4-Flash-Vision-Exp
Qwen3.8-27B
25.6#31
22.7#42
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for DeepSeek-V4-Flash-Vision-Exp · 26 for Qwen3.8-27B

3 shared

DeepSeek-V4-Flash-Vision-Exp outperforms in 2 benchmarks (NL2Repo, Terminal-Bench 2.1), while Qwen3.8-27B is better at 1 benchmark (Agents' Last Exam).

DeepSeek-V4-Flash-Vision-Exp shows notably better performance in the majority of 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

DeepSeek-V4-Flash-Vision-Exp accepts 1,048,576 input tokens compared to Qwen3.8-27B's 262,144 tokens. DeepSeek-V4-Flash-Vision-Exp can generate longer responses up to 393,216 tokens, while Qwen3.8-27B is limited to 131,072 tokens.

DeepSeek
DeepSeek-V4-Flash-Vision-Exp
Input1,048,576 tokens
Output393,216 tokens
Alibaba Cloud / Qwen Team
Qwen3.8-27B
Input262,144 tokens
Output131,072 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-27B 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

Qwen3.8-27B

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Qwen3.8-27B was released on 2026-08-14.

DeepSeek-V4-Flash-Vision-Exp is 0 month newer than Qwen3.8-27B.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

2 weeks ago

1w newer
Qwen3.8-27B

Aug 14, 2026

3 weeks ago

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

Provider Availability

DeepSeek-V4-Flash-Vision-Exp is available from DeepSeek. Qwen3.8-27B is available from FriendliAI.

DeepSeek-V4-Flash-Vision-Exp

deepseek logo
DeepSeek
Input Price:Input: $0.22/1MOutput Price:Output: $0.66/1M

Qwen3.8-27B

friendli logo
FriendliAI
* Prices shown are per million tokens

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 Qwen3.8-27B side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Qwen3.8-27B.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Qwen3.8-27B?

DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-27B are closely matched on the LLM Stats Score at 47.0 and 45.2. DeepSeek-V4-Flash-Vision-Exp is made by DeepSeek and Qwen3.8-27B 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 Qwen3.8-27B 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%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-27B?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Qwen3.8-27B supports 262K 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 Qwen3.8-27B?

Key differences include LLM Stats Score (47.0 vs 45.2), context window (1.0M vs 262K), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Qwen3.8-27B?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.