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DeepSeek-V4-Flash-Vision-Exp vs Kimi-k1.5

Comparing DeepSeek-V4-Flash-Vision-Exp and Kimi-k1.5 across benchmarks, pricing, and capabilities.

DeepSeek · Moonshot AI · Updated for 2026

Which is better?

DeepSeek-V4-Flash-Vision-Exp and Kimi-k1.5 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-k1.5

  • you are already invested in the Moonshot AI ecosystem

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
Jan 2025
License
Unknown
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-V4-Flash-Vision-Exp and Kimi-k1.5don'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-k1.5
Input- tokens
Output- tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both DeepSeek-V4-Flash-Vision-Exp and Kimi-k1.5 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

Kimi-k1.5

Text
Images
Audio
Video

Release Timeline

When each model was launched

DeepSeek-V4-Flash-Vision-Exp was released on 2026-08-21, while Kimi-k1.5 was released on 2025-01-20.

DeepSeek-V4-Flash-Vision-Exp is 19 months newer than Kimi-k1.5.

DeepSeek-V4-Flash-Vision-Exp

Aug 21, 2026

3 days ago

1.6yr newer
Kimi-k1.5

Jan 20, 2025

1.6 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-k1.5 side-by-side, then vote on the output you prefer.

DeepSeek-V4-Flash-Vision-Exp
✓ Preferred
Kimi-k1.5
Open in Playground

FAQ

Common questions about DeepSeek-V4-Flash-Vision-Exp vs Kimi-k1.5.

Which is better, DeepSeek-V4-Flash-Vision-Exp or Kimi-k1.5?

DeepSeek-V4-Flash-Vision-Exp (DeepSeek) and Kimi-k1.5 (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-k1.5 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-k1.5 scores MATH-500: 96.2%, CLUEWSC: 91.4%, C-Eval: 88.3%, MMLU: 87.4%, IFEval: 87.2%.

What are the context window sizes for DeepSeek-V4-Flash-Vision-Exp and Kimi-k1.5?

DeepSeek-V4-Flash-Vision-Exp supports 1.0M tokens and Kimi-k1.5 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-k1.5?

Key differences include licensing (Unknown vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V4-Flash-Vision-Exp and Kimi-k1.5?

DeepSeek-V4-Flash-Vision-Exp is developed by DeepSeek and Kimi-k1.5 is developed by Moonshot AI.