Model Comparison
Hermes 3 70B vs MiniMax M2Which is better in 2026?
MiniMax M2 significantly outperforms across most benchmarks. MiniMax M2 is 1.2x cheaper per token.
Verdict: Hermes 3 70B vs MiniMax M2 — which is better?
Hermes 3 70B (by Nous Research) and MiniMax M2 (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.
Hermes 3 70B outperforms in 0 benchmarks, while MiniMax M2 is better at 2 benchmarks (GPQA, MMLU-Pro). MiniMax M2 significantly outperforms across most benchmarks.
On price, MiniMax M2 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
MiniMax M2 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Hermes 3 70B if…
- you want predictable pricing at $0.35/M input and $1.40/M output
Choose MiniMax M2 if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- cost matters — it's about 1.2x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2025
Performance Benchmarks
Comparative analysis across standard metrics
Hermes 3 70B outperforms in 0 benchmarks, while MiniMax M2 is better at 2 benchmarks (GPQA, MMLU-Pro).
MiniMax M2 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Hermes 3 70B ($0.35/1M tokens) is 1.2x more expensive than MiniMax M2 ($0.30/1M tokens).
For output processing, Hermes 3 70B ($1.40/1M tokens) is 1.2x more expensive than MiniMax M2 ($1.20/1M tokens).
In conclusion, Hermes 3 70B is more expensive than MiniMax M2.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
MiniMax M2 has 160.0B more parameters than Hermes 3 70B, making it 228.6% larger.
Context Window
Maximum input and output token capacity
MiniMax M2 accepts 1,000,000 input tokens compared to Hermes 3 70B's 131,072 tokens. MiniMax M2 can generate longer responses up to 1,000,000 tokens, while Hermes 3 70B is limited to 16,384 tokens.
License
Usage and distribution terms
Hermes 3 70B is licensed under Apache 2.0, while MiniMax M2 uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Apache 2.0
Open weights
MIT
Open weights
Release Timeline
When each model was launched
Hermes 3 70B was released on 2024-08-15, while MiniMax M2 was released on 2025-10-27.
MiniMax M2 is 15 months newer than Hermes 3 70B.
Aug 15, 2024
1.8 years ago
Oct 27, 2025
7 months ago
1.2yr newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Hermes 3 70B is available from DeepInfra. MiniMax M2 is available from MiniMax, Novita.
Hermes 3 70B
MiniMax M2
Outputs Comparison
Key Takeaways
Hermes 3 70B
View detailsNous Research
No standout differentiators in the data we have for this pair.
MiniMax M2
View detailsMiniMax
Detailed Comparison
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FAQ
Common questions about Hermes 3 70B vs MiniMax M2.