GPT-4.1 vs Hermes 3 70B
GPT-4.1 leads the LLM Stats Score 18.0 to 4.0. Hermes 3 70B is 5.0x cheaper per token.
OpenAI · Nous Research · Updated for 2026
Which is better?
GPT-4.1 leads the overall LLM Stats Score 18.0 to 4.0, ranking #232 overall.
In the 2 individual benchmarks reported for both models, GPT-4.1 wins 2; this is a narrower head-to-head signal than the composite indexes.
On price, Hermes 3 70B is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-4.1 also accepts a larger context window (1,047,576 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 GPT-4.1
- overall performance matters — it scores 18.0 and ranks #232 on LLM Stats
- your work emphasizes reasoning — it leads those capability indexes
- you value its reported benchmark strengths — it wins 2 of 2 exact shared results
- you process long inputs — it offers a 1,047,576 token context window
- you want the most recent training data — it shipped Apr 2025
Choose Hermes 3 70B
- cost matters — it's about 5.0x cheaper per token
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
29 reported for GPT-4.1 · 17 for Hermes 3 70B
GPT-4.1 outperforms in 2 benchmarks (GPQA, MMLU), while Hermes 3 70B is better at 0 benchmarks.
GPT-4.1 significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, GPT-4.1 ($2.00/1M tokens) is 2.9x more expensive than Hermes 3 70B ($0.70/1M tokens).
For output processing, GPT-4.1 ($8.00/1M tokens) is 11.4x more expensive than Hermes 3 70B ($0.70/1M tokens).
In conclusion, GPT-4.1 is more expensive than Hermes 3 70B.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-4.1 accepts 1,047,576 input tokens compared to Hermes 3 70B's 131,072 tokens. Hermes 3 70B can generate longer responses up to 131,072 tokens, while GPT-4.1 is limited to 32,768 tokens.
Input capabilities
Documented input modalities across available providers
GPT-4.1 supports multimodal inputs, whereas Hermes 3 70B does not.
GPT-4.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GPT-4.1
Hermes 3 70B
License
Usage and distribution terms
GPT-4.1 is licensed under a proprietary license, while Hermes 3 70B uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Apache 2.0
Open weights
Release Timeline
When each model was launched
GPT-4.1 was released on 2025-04-14, while Hermes 3 70B was released on 2024-08-15.
GPT-4.1 is 8 months newer than Hermes 3 70B.
Apr 14, 2025
1.5 years ago
8mo newerAug 15, 2024
2.1 years ago
Knowledge Cutoff
When training data ends
GPT-4.1 has a documented knowledge cutoff of 2024-06-01, while Hermes 3 70B's cutoff date is not specified.
We can confirm GPT-4.1's training data extends to 2024-06-01, but cannot make a direct comparison without Hermes 3 70B's cutoff date.
Jun 2024
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Provider Availability
GPT-4.1 is available from OpenAI. Hermes 3 70B is available from DeepInfra.
GPT-4.1
Hermes 3 70B
Outputs Comparison
Judge for yourself.
Run your own prompts against GPT-4.1 and Hermes 3 70B side-by-side, then vote on the output you prefer.
FAQ
Common questions about GPT-4.1 vs Hermes 3 70B.