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Kimi K2.5 vs Qwen3-Next-80B-A3B-Instruct

Kimi K2.5 leads the LLM Stats Score 38.8 to 20.1. Qwen3-Next-80B-A3B-Instruct is 3.5x cheaper per token.

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

Which is better?

Kimi K2.5 leads the overall LLM Stats Score 38.8 to 20.1, ranking #62 overall.

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

On price, Qwen3-Next-80B-A3B-Instruct is roughly 3.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3-Next-80B-A3B-Instruct 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 K2.5

  • overall performance matters — it scores 38.8 and ranks #62 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 4 of 4 exact shared results
  • you want the most recent training data — it shipped Jan 2026

Choose Qwen3-Next-80B-A3B-Instruct

  • cost matters — it's about 3.5x cheaper per token
  • you process long inputs — it offers a 262,144 token context window

At a glance

The differences that matter most.

Kimi K2.5
Moonshot AI
Qwen3-Next-80B-A3B-Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
38.8
#62
20.1
#197
Reasoning
38.7
#60
19.9
#192
Coding
25.2
#70
1.9
#228
Agents
18.3
#69
8.3
#132
Cost, coverage & limits
Benchmark wins
4 of 4
0 of 4
Input price
$0.60 / M
$0.09 / M
Output price
$3.00 / M
$1.10 / M
Context window
262,100
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Kimi K2.5
Qwen3-Next-80B-A3B-Instruct
Math
36.6#36
20.6#156
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

40 reported for Kimi K2.5 · 24 for Qwen3-Next-80B-A3B-Instruct

4 shared

Kimi K2.5 outperforms in 4 benchmarks (AIME 2025, GPQA, LiveCodeBench v6, MMLU-Pro), while Qwen3-Next-80B-A3B-Instruct is better at 0 benchmarks.

Kimi K2.5 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-Next-80B-A3B-Instruct costs less

For input processing, Kimi K2.5 ($0.60/1M tokens) is 6.7x more expensive than Qwen3-Next-80B-A3B-Instruct ($0.09/1M tokens).

For output processing, Kimi K2.5 ($3.00/1M tokens) is 2.7x more expensive than Qwen3-Next-80B-A3B-Instruct ($1.10/1M tokens).

In conclusion, Kimi K2.5 is more expensive than Qwen3-Next-80B-A3B-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 K2.5
Input tokens$0.60
Output tokens$3.00
Best providerFireworks
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input tokens$0.09
Output tokens$1.10
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

920.0B diff

Kimi K2.5 has 920.0B more parameters than Qwen3-Next-80B-A3B-Instruct, making it 1150.0% larger.

Moonshot AI
Kimi K2.5
1.0Tparameters
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
80.0Bparameters
1000.0B
Kimi K2.5
80.0B
Qwen3-Next-80B-A3B-Instruct

Context Window

Maximum input and output token capacity

Qwen3-Next-80B-A3B-Instruct accepts 262,144 input tokens compared to Kimi K2.5's 262,100 tokens. Qwen3-Next-80B-A3B-Instruct can generate longer responses up to 262,144 tokens, while Kimi K2.5 is limited to 262,100 tokens.

Moonshot AI
Kimi K2.5
Input262,100 tokens
Output262,100 tokens
Alibaba Cloud / Qwen Team
Qwen3-Next-80B-A3B-Instruct
Input262,144 tokens
Output262,144 tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Kimi K2.5 supports multimodal inputs, whereas Qwen3-Next-80B-A3B-Instruct does not.

Kimi K2.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Kimi K2.5

Text
Images
Audio
Video

Qwen3-Next-80B-A3B-Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Kimi K2.5 is licensed under MIT, while Qwen3-Next-80B-A3B-Instruct uses Apache 2.0.

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

Kimi K2.5

MIT

Open weights

Qwen3-Next-80B-A3B-Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Kimi K2.5 was released on 2026-01-27, while Qwen3-Next-80B-A3B-Instruct was released on 2025-09-10.

Kimi K2.5 is 5 months newer than Qwen3-Next-80B-A3B-Instruct.

Kimi K2.5

Jan 27, 2026

7 months ago

4mo newer
Qwen3-Next-80B-A3B-Instruct

Sep 10, 2025

1.0 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

Provider Availability

Kimi K2.5 is available from Fireworks, Moonshot AI. Qwen3-Next-80B-A3B-Instruct is available from DeepInfra, Novita.

Kimi K2.5

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M
moonshot logo
Unknown Organization
Input Price:Input: $0.60/1MOutput Price:Output: $3.00/1M

Qwen3-Next-80B-A3B-Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.09/1MOutput Price:Output: $1.10/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $1.50/1M
* 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 K2.5 and Qwen3-Next-80B-A3B-Instruct side-by-side, then vote on the output you prefer.

Kimi K2.5
✓ Preferred
Qwen3-Next-80B-A3B-Instruct
Open in Playground

FAQ

Common questions about Kimi K2.5 vs Qwen3-Next-80B-A3B-Instruct.

Which is better, Kimi K2.5 or Qwen3-Next-80B-A3B-Instruct?

Kimi K2.5 leads the LLM Stats Score 38.8 to 20.1. Kimi K2.5 is made by Moonshot AI and Qwen3-Next-80B-A3B-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 K2.5 compare to Qwen3-Next-80B-A3B-Instruct in benchmarks?

Kimi K2.5 scores AIME 2025: 96.1%, HMMT 2025: 95.4%, InfoVQAtest: 92.6%, OCRBench: 92.3%, MathVista-Mini: 90.1%. Qwen3-Next-80B-A3B-Instruct scores MMLU-Redux: 90.9%, MultiPL-E: 87.8%, IFEval: 87.6%, WritingBench: 87.3%, Creative Writing v3: 85.3%.

Is Kimi K2.5 cheaper than Qwen3-Next-80B-A3B-Instruct?

Qwen3-Next-80B-A3B-Instruct is 6.7x cheaper for input tokens. Kimi K2.5 costs $0.60/M input and $3.00/M output via fireworks. Qwen3-Next-80B-A3B-Instruct costs $0.09/M input and $1.10/M output via deepinfra.

What are the context window sizes for Kimi K2.5 and Qwen3-Next-80B-A3B-Instruct?

Kimi K2.5 supports 262K tokens and Qwen3-Next-80B-A3B-Instruct 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 Kimi K2.5 and Qwen3-Next-80B-A3B-Instruct?

Key differences include LLM Stats Score (38.8 vs 20.1), context window (262K vs 262K), input pricing ($0.60 vs $0.09/M), multimodal support (yes vs no), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Kimi K2.5 and Qwen3-Next-80B-A3B-Instruct?

Kimi K2.5 is developed by Moonshot AI and Qwen3-Next-80B-A3B-Instruct is developed by Alibaba Cloud / Qwen Team.

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