Model Comparison

Gemini 3.6 Flash vs Hermes 3 70BWhich is better in 2026?

Comparing Gemini 3.6 Flash and Hermes 3 70B across benchmarks, pricing, and capabilities.

Verdict: Gemini 3.6 Flash vs Hermes 3 70B — which is better?

Gemini 3.6 Flash (by Google) and Hermes 3 70B (by Nous Research) 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.

On price, Hermes 3 70B is roughly 4.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Gemini 3.6 Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemini 3.6 Flash if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose Hermes 3 70B if…

  • cost matters — it's about 4.9x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemini 3.6 Flash and Hermes 3 70Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Hermes 3 70B costs less

For input processing, Gemini 3.6 Flash ($1.50/1M tokens) is 4.3x more expensive than Hermes 3 70B ($0.35/1M tokens).

For output processing, Gemini 3.6 Flash ($7.50/1M tokens) is 5.4x more expensive than Hermes 3 70B ($1.40/1M tokens).

In conclusion, Gemini 3.6 Flash is more expensive than Hermes 3 70B.*

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

Lowest available price from all providers
Sat Jul 25 2026 • llm-stats.com
Google
Gemini 3.6 Flash
Input tokens$1.50
Output tokens$7.50
Best providerGoogle
Nous Research
Hermes 3 70B
Input tokens$0.35
Output tokens$1.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Gemini 3.6 Flash accepts 1,048,576 input tokens compared to Hermes 3 70B's 131,072 tokens. Gemini 3.6 Flash can generate longer responses up to 65,536 tokens, while Hermes 3 70B is limited to 16,384 tokens.

Google
Gemini 3.6 Flash
Input1,048,576 tokens
Output65,536 tokens
Nous Research
Hermes 3 70B
Input131,072 tokens
Output16,384 tokens
Sat Jul 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Gemini 3.6 Flash supports multimodal inputs, whereas Hermes 3 70B does not.

Gemini 3.6 Flash can handle both text and other forms of data like images, making it suitable for multimodal applications.

Gemini 3.6 Flash

Text
Images
Audio
Video

Hermes 3 70B

Text
Images
Audio
Video

License

Usage and distribution terms

Gemini 3.6 Flash 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.

Gemini 3.6 Flash

Proprietary

Closed source

Hermes 3 70B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Gemini 3.6 Flash was released on 2026-07-21, while Hermes 3 70B was released on 2024-08-15.

Gemini 3.6 Flash is 24 months newer than Hermes 3 70B.

Gemini 3.6 Flash

Jul 21, 2026

3 days ago

1.9yr newer
Hermes 3 70B

Aug 15, 2024

1.9 years ago

Knowledge Cutoff

When training data ends

Gemini 3.6 Flash has a documented knowledge cutoff of 2026-03-31, while Hermes 3 70B's cutoff date is not specified.

We can confirm Gemini 3.6 Flash's training data extends to 2026-03-31, but cannot make a direct comparison without Hermes 3 70B's cutoff date.

Gemini 3.6 Flash

Mar 2026

Hermes 3 70B

Provider Availability

Gemini 3.6 Flash is available from Google. Hermes 3 70B is available from DeepInfra.

Gemini 3.6 Flash

google logo
Google
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

Hermes 3 70B

deepinfra logo
Deepinfra
Input Price:Input: $0.35/1MOutput Price:Output: $1.40/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (1,048,576 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemini 3.6 Flash and Hermes 3 70B side-by-side, then vote on the output you prefer.

Gemini 3.6 Flash
✓ Preferred
Hermes 3 70B
Open in Playground
AI Model Comparison Table
Feature
Google
Gemini 3.6 Flash
Nous Research
Hermes 3 70B

FAQ

Common questions about Gemini 3.6 Flash vs Hermes 3 70B.

Which is better, Gemini 3.6 Flash or Hermes 3 70B?

Gemini 3.6 Flash (Google) and Hermes 3 70B (Nous Research) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemini 3.6 Flash compare to Hermes 3 70B in benchmarks?

Gemini 3.6 Flash scores CharXiv-R: 89.4%, OSWorld-Verified: 83.0%, Terminal-Bench 2.1: 78.0%, MLE-Bench: 63.9%, SWE-Bench Pro: 58.7%. Hermes 3 70B scores MT-Bench: 89.9%, HellaSwag: 88.2%, BoolQ: 88.0%, PIQA: 84.4%, Winogrande: 83.2%.

Is Gemini 3.6 Flash cheaper than Hermes 3 70B?

Hermes 3 70B is 4.3x cheaper for input tokens. Gemini 3.6 Flash costs $1.50/M input and $7.50/M output via google. Hermes 3 70B costs $0.35/M input and $1.40/M output via deepinfra.

What are the context window sizes for Gemini 3.6 Flash and Hermes 3 70B?

Gemini 3.6 Flash supports 1.0M tokens and Hermes 3 70B 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 Gemini 3.6 Flash and Hermes 3 70B?

Key differences include context window (1.0M vs 131K), input pricing ($1.50 vs $0.35/M), multimodal support (yes vs no), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 3.6 Flash and Hermes 3 70B?

Gemini 3.6 Flash is developed by Google and Hermes 3 70B is developed by Nous Research.