Model Comparison
Kimi K2 Instruct vs MiniMax M1 80KWhich is better in 2026?
Kimi K2 Instruct has a slight edge in benchmark performance. Kimi K2 Instruct is 1.9x cheaper per token.
Verdict: Kimi K2 Instruct vs MiniMax M1 80K — which is better?
Kimi K2 Instruct (by Moonshot AI) and MiniMax M1 80K (by MiniMax) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
Kimi K2 Instruct outperforms in 5 benchmarks (GPQA, MATH-500, Multi-Challenge, SimpleQA, ZebraLogic), while MiniMax M1 80K is better at 3 benchmarks (AIME 2024, AIME 2025, Humanity's Last Exam). Kimi K2 Instruct has a slight edge in benchmark performance.
On price, Kimi K2 Instruct is roughly 1.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M1 80K also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Kimi K2 Instruct if…
- you want the strongest raw capability — it leads on 5 of 9 shared benchmarks
- cost matters — it's about 1.9x cheaper per token
- you want the most recent training data — it shipped Jul 2025
Choose MiniMax M1 80K if…
- you process long inputs — it offers a 1,000,000 token context window
Performance Benchmarks
Comparative analysis across standard metrics
Kimi K2 Instruct outperforms in 5 benchmarks (GPQA, MATH-500, Multi-Challenge, SimpleQA, ZebraLogic), while MiniMax M1 80K is better at 3 benchmarks (AIME 2024, AIME 2025, Humanity's Last Exam).
Kimi K2 Instruct has a slight edge in benchmark performance.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Kimi K2 Instruct ($0.50/1M tokens) is 1.1x cheaper than MiniMax M1 80K ($0.55/1M tokens).
For output processing, Kimi K2 Instruct ($0.50/1M tokens) is 4.4x cheaper than MiniMax M1 80K ($2.20/1M tokens).
In conclusion, MiniMax M1 80K is more expensive than Kimi K2 Instruct.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Kimi K2 Instruct has 544.0B more parameters than MiniMax M1 80K, making it 119.3% larger.
Context Window
Maximum input and output token capacity
MiniMax M1 80K accepts 1,000,000 input tokens compared to Kimi K2 Instruct's 200,000 tokens. Kimi K2 Instruct can generate longer responses up to 200,000 tokens, while MiniMax M1 80K is limited to 40,000 tokens.
License
Usage and distribution terms
Both models are licensed under MIT.
Both models share the same licensing terms, providing consistent usage rights.
MIT
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Kimi K2 Instruct was released on 2025-07-11, while MiniMax M1 80K was released on 2025-06-16.
Kimi K2 Instruct is 1 month newer than MiniMax M1 80K.
Jul 11, 2025
1.0 years ago
3w newerJun 16, 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.
Provider Availability
Kimi K2 Instruct is available from Fireworks, Novita. MiniMax M1 80K is available from Novita.
Kimi K2 Instruct
MiniMax M1 80K
Outputs Comparison
Key Takeaways
Kimi K2 Instruct
View detailsMoonshot AI
MiniMax M1 80K
View detailsMiniMax
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Kimi K2 Instruct and MiniMax M1 80K side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Kimi K2 Instruct vs MiniMax M1 80K.