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DeepSeek-V4-Flash-Vision-Exp vs Kimi K2 Base

Comparing DeepSeek-V4-Flash-Vision-Exp and Kimi K2 Base across benchmarks, pricing, and capabilities.

DeepSeek · Moonshot AI · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and Kimi K2 Base trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

Based on current benchmark, pricing, and model metadata for 2026.

Choose DeepSeek-V4-Flash-Vision-Exp

  • you want the most recent training data — it shipped Aug 2026

Choose Kimi K2 Base

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.22 / M
— / M
Output price
$0.66 / M
— / M
Context window
1,048,576
Released
Aug 2026
Jul 2025
License
Unknown
MIT

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-Vision-Exp and Kimi K2 Basedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind 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
Moonshot AI
Kimi K2 Base
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

DeepSeek-V4-Flash-Vision-Exp supports multimodal inputs, whereas Kimi K2 Base does not.

DeepSeek-V4-Flash-Vision-Exp can handle both text and other forms of data like images, making it suitable for multimodal applications.

DeepSeek-V4-Flash-Vision-Exp

Text
Images
Audio
Video

Kimi K2 Base

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Kimi K2 Base was released on 2025-07-11.

DeepSeek-V4-Flash-Vision-Exp is 14 months newer than Kimi K2 Base.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

3 days ago

1.1yr newer
Kimi K2 Base

Jul 11, 2025

1.1 years 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

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 Kimi K2 Base side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Kimi K2 Base
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Kimi K2 Base.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Kimi K2 Base?

DeepSeek-V4-Flash-Vision-Exp (DeepSeek) and Kimi K2 Base (Moonshot AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does DeepSeek-V4-Flash-Vision-Exp compare to Kimi K2 Base 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%. Kimi K2 Base scores C-Eval: 92.5%, GSM8k: 92.1%, MMLU-redux-2.0: 90.2%, MMLU: 87.8%, TriviaQA: 85.1%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Kimi K2 Base?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Kimi K2 Base 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 Kimi K2 Base?

Key differences include multimodal support (yes vs no), licensing (Unknown vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Kimi K2 Base?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Kimi K2 Base is developed by Moonshot AI.