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Kimi K2-Thinking-0905 vs Qwen3 VL 8B Instruct

Kimi K2-Thinking-0905 leads the LLM Stats Score 36.0 to 13.9. Qwen3 VL 8B Instruct is 4.6x cheaper per token.

Moonshot AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Kimi K2-Thinking-0905 leads the overall LLM Stats Score 36.0 to 13.9, ranking #81 overall.

In the 5 individual benchmarks reported for both models, Kimi K2-Thinking-0905 wins 4; this is a narrower head-to-head signal than the composite indexes.

On price, Qwen3 VL 8B Instruct is roughly 4.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Kimi K2-Thinking-0905 also accepts a larger context window (262,144 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 Kimi K2-Thinking-0905

  • overall performance matters — it scores 36.0 and ranks #81 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 5 exact shared results
  • you process long inputs — it offers a 262,144 token context window

Choose Qwen3 VL 8B Instruct

  • cost matters — it's about 4.6x cheaper per token
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Core performance indexes
36.0
#81
13.9
#240
36.2
#74
11.2
#257
16.0
#80
7.2
#138
Cost, coverage & limits
Benchmark wins
4 of 5
1 of 5
Input price
$0.47 / M
$0.08 / M
Output price
$2.00 / M
$0.50 / M
Context window
262,144
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Kimi K2-Thinking-0905
Qwen3 VL 8B Instruct
38.0#27
11.9#235
19.3#87
15.0#125
18.5#80
14.5#110
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

21 reported for Kimi K2-Thinking-0905 · 46 for Qwen3 VL 8B Instruct

5 shared

Kimi K2-Thinking-0905 outperforms in 4 benchmarks (AIME 2025, LiveCodeBench v6, MMLU-Pro, MMLU-Redux), while Qwen3 VL 8B Instruct is better at 1 benchmark (WritingBench).

Kimi K2-Thinking-0905 significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 8B Instruct costs less

For input processing, Kimi K2-Thinking-0905 ($0.47/1M tokens) is 5.9x more expensive than Qwen3 VL 8B Instruct ($0.08/1M tokens).

For output processing, Kimi K2-Thinking-0905 ($2.00/1M tokens) is 4.0x more expensive than Qwen3 VL 8B Instruct ($0.50/1M tokens).

In conclusion, Kimi K2-Thinking-0905 is more expensive than Qwen3 VL 8B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Mon Sep 21 2026 • llm-stats.com
Moonshot AI
Kimi K2-Thinking-0905
Input tokens$0.47
Output tokens$2.00
Best providerDeepinfra
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Instruct
Input tokens$0.08
Output tokens$0.50
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

991.0B diff

Kimi K2-Thinking-0905 has 991.0B more parameters than Qwen3 VL 8B Instruct, making it 11011.1% larger.

Moonshot AI
Kimi K2-Thinking-0905
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Instruct
9.0Bparameters
1000.0B
Kimi K2-Thinking-0905
9.0B
Qwen3 VL 8B Instruct

Context Window

Maximum input and output token capacity

Kimi K2-Thinking-0905 accepts 262,144 input tokens compared to Qwen3 VL 8B Instruct's 131,072 tokens. Kimi K2-Thinking-0905 can generate longer responses up to 262,144 tokens, while Qwen3 VL 8B Instruct is limited to 32,768 tokens.

Moonshot AI
Kimi K2-Thinking-0905
Input262,144 tokens
Output262,144 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Instruct
Input131,072 tokens
Output32,768 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 8B Instruct supports multimodal inputs, whereas Kimi K2-Thinking-0905 does not.

Qwen3 VL 8B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2-Thinking-0905

Text
Images
Audio
Video

Qwen3 VL 8B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2-Thinking-0905 is licensed under MIT, while Qwen3 VL 8B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Kimi K2-Thinking-0905

MIT

Open weights

Qwen3 VL 8B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2-Thinking-0905 was released on 2025-09-05, while Qwen3 VL 8B Instruct was released on 2025-09-22.

Qwen3 VL 8B Instruct is 1 month newer than Kimi K2-Thinking-0905.

Kimi K2-Thinking-0905

Sep 5, 2025

1.0 years ago

Qwen3 VL 8B Instruct

Sep 22, 2025

12 months ago

2w 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

Provider Availability

Kimi K2-Thinking-0905 is available from DeepInfra, Novita, Fireworks. Qwen3 VL 8B Instruct is available from Novita, DeepInfra.

Kimi K2-Thinking-0905

deepinfra logo
Deepinfra
Input Price:Input: $0.47/1MOutput Price:Output: $2.00/1M
novita logo
Novita
Input Price:Input: $0.48/1MOutput Price:Output: $2.00/1M
fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.50/1M

Qwen3 VL 8B Instruct

novita logo
Novita
Input Price:Input: $0.08/1MOutput Price:Output: $0.50/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.69/1M
* 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 Kimi K2-Thinking-0905 and Qwen3 VL 8B Instruct side-by-side, then vote on the output you prefer.

Kimi K2-Thinking-0905
✓ Preferred
Qwen3 VL 8B Instruct
Open in Playground

FAQ

Common questions about Kimi K2-Thinking-0905 vs Qwen3 VL 8B Instruct.

Which is better, Kimi K2-Thinking-0905 or Qwen3 VL 8B Instruct?

Kimi K2-Thinking-0905 leads the LLM Stats Score 36.0 to 13.9. Kimi K2-Thinking-0905 is made by Moonshot AI and Qwen3 VL 8B Instruct 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 Kimi K2-Thinking-0905 compare to Qwen3 VL 8B Instruct in benchmarks?

Kimi K2-Thinking-0905 scores AIME 2025: 100.0%, HMMT 2025: 97.5%, MMLU-Redux: 94.4%, FRAMES: 87.0%, MMLU-Pro: 84.6%. Qwen3 VL 8B Instruct scores DocVQAtest: 96.1%, ScreenSpot: 94.4%, OCRBench: 89.6%, AI2D: 85.7%, MMBench-V1.1: 85.0%.

Is Kimi K2-Thinking-0905 cheaper than Qwen3 VL 8B Instruct?

Qwen3 VL 8B Instruct is 5.9x cheaper for input tokens. Kimi K2-Thinking-0905 costs $0.47/M input and $2.00/M output via deepinfra. Qwen3 VL 8B Instruct costs $0.08/M input and $0.50/M output via novita.

What are the context window sizes for Kimi K2-Thinking-0905 and Qwen3 VL 8B Instruct?

Kimi K2-Thinking-0905 supports 262K tokens and Qwen3 VL 8B Instruct supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Kimi K2-Thinking-0905 and Qwen3 VL 8B Instruct?

Key differences include LLM Stats Score (36.0 vs 13.9), context window (262K vs 131K), input pricing ($0.47 vs $0.08/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2-Thinking-0905 and Qwen3 VL 8B Instruct?

Kimi K2-Thinking-0905 is developed by Moonshot AI and Qwen3 VL 8B Instruct is developed by Alibaba Cloud / Qwen Team.