Model Comparison

DeepSeek-R1 vs Hermes 3 70B

Comparing DeepSeek-R1 and Hermes 3 70B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

DeepSeek-R1 and Hermes 3 70B don'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, DeepSeek-R1 ($0.55/1M tokens) is 1.6x more expensive than Hermes 3 70B ($0.35/1M tokens).

For output processing, DeepSeek-R1 ($2.19/1M tokens) is 1.6x more expensive than Hermes 3 70B ($1.40/1M tokens).

In conclusion, DeepSeek-R1 is more expensive than Hermes 3 70B.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
DeepSeek
DeepSeek-R1
Input tokens$0.55
Output tokens$2.19
Best providerDeepSeek
Nous Research
Hermes 3 70B
Input tokens$0.35
Output tokens$1.40
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

601.0B diff

DeepSeek-R1 has 601.0B more parameters than Hermes 3 70B, making it 858.6% larger.

DeepSeek
DeepSeek-R1
671.0Bparameters
Nous Research
Hermes 3 70B
70.0Bparameters
671.0B
DeepSeek-R1
70.0B
Hermes 3 70B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. DeepSeek-R1 can generate longer responses up to 131,072 tokens, while Hermes 3 70B is limited to 16,384 tokens.

DeepSeek
DeepSeek-R1
Input131,072 tokens
Output131,072 tokens
Nous Research
Hermes 3 70B
Input131,072 tokens
Output16,384 tokens
Wed Apr 15 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-R1 is licensed under MIT, while Hermes 3 70B uses Apache 2.0.

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

DeepSeek-R1

MIT

Open weights

Hermes 3 70B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-R1 was released on 2025-01-20, while Hermes 3 70B was released on 2024-08-15.

DeepSeek-R1 is 5 months newer than Hermes 3 70B.

DeepSeek-R1

Jan 20, 2025

1.2 years ago

5mo newer
Hermes 3 70B

Aug 15, 2024

1.7 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

DeepSeek-R1 is available from DeepSeek, DeepInfra, Together, Fireworks. Hermes 3 70B is available from DeepInfra.

DeepSeek-R1

deepseek logo
DeepSeek
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.85/1MOutput Price:Output: $2.50/1M
together logo
Together
Input Price:Input: $7.00/1MOutput Price:Output: $7.00/1M
fireworks logo
Fireworks
Input Price:Input: $8.00/1MOutput Price:Output: $8.00/1M

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

DeepSeek
Nous Research
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-R1
Nous Research
Hermes 3 70B

FAQ

Common questions about DeepSeek-R1 vs Hermes 3 70B

DeepSeek-R1 (DeepSeek) 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.
Hermes 3 70B scores MT-Bench: 89.9%, HellaSwag: 88.2%, BoolQ: 88.0%, PIQA: 84.4%, Winogrande: 83.2%.
Hermes 3 70B is 1.6x cheaper for input tokens. DeepSeek-R1 costs $0.55/M input and $2.19/M output via deepseek. Hermes 3 70B costs $0.35/M input and $1.40/M output via deepinfra.
DeepSeek-R1 supports 131K tokens and Hermes 3 70B supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($0.55 vs $0.35/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
DeepSeek-R1 is developed by DeepSeek and Hermes 3 70B is developed by Nous Research.