Model Comparison

DeepSeek-V3.1 vs Hermes 3 70BWhich is better in 2026?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is 1.4x cheaper per token.

Verdict: DeepSeek-V3.1 vs Hermes 3 70B — which is better?

DeepSeek-V3.1 (by DeepSeek) 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.

DeepSeek-V3.1 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Hermes 3 70B is better at 0 benchmarks. DeepSeek-V3.1 significantly outperforms across most benchmarks.

On price, DeepSeek-V3.1 is roughly 1.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

DeepSeek-V3.1 also accepts a larger context window (163,840 input tokens), making it the stronger choice for long documents and large codebases.

Choose DeepSeek-V3.1 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • cost matters — it's about 1.4x cheaper per token
  • you process long inputs — it offers a 163,840 token context window
  • you want the most recent training data — it shipped Jan 2025

Choose Hermes 3 70B if…

  • you want predictable pricing at $0.35/M input and $1.40/M output
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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

DeepSeek-V3.1 outperforms in 2 benchmarks (GPQA, MMLU-Pro), while Hermes 3 70B is better at 0 benchmarks.

DeepSeek-V3.1 significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

DeepSeek-V3.1 costs less

For input processing, DeepSeek-V3.1 ($0.27/1M tokens) is 1.3x cheaper than Hermes 3 70B ($0.35/1M tokens).

For output processing, DeepSeek-V3.1 ($1.00/1M tokens) is 1.4x cheaper than Hermes 3 70B ($1.40/1M tokens).

In conclusion, Hermes 3 70B is more expensive than DeepSeek-V3.1.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
DeepSeek
DeepSeek-V3.1
Input tokens$0.27
Output tokens$1.00
Best providerDeepinfra
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-V3.1 has 601.0B more parameters than Hermes 3 70B, making it 858.6% larger.

DeepSeek
DeepSeek-V3.1
671.0Bparameters
Nous Research
Hermes 3 70B
70.0Bparameters
671.0B
DeepSeek-V3.1
70.0B
Hermes 3 70B

Context Window

Maximum input and output token capacity

DeepSeek-V3.1 accepts 163,840 input tokens compared to Hermes 3 70B's 131,072 tokens. DeepSeek-V3.1 can generate longer responses up to 163,840 tokens, while Hermes 3 70B is limited to 16,384 tokens.

DeepSeek
DeepSeek-V3.1
Input163,840 tokens
Output163,840 tokens
Nous Research
Hermes 3 70B
Input131,072 tokens
Output16,384 tokens
Sat Jun 13 2026 • llm-stats.com

License

Usage and distribution terms

DeepSeek-V3.1 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-V3.1

MIT

Open weights

Hermes 3 70B

Apache 2.0

Open weights

Release Timeline

When each model was launched

DeepSeek-V3.1 was released on 2025-01-10, while Hermes 3 70B was released on 2024-08-15.

DeepSeek-V3.1 is 5 months newer than Hermes 3 70B.

DeepSeek-V3.1

Jan 10, 2025

1.4 years ago

4mo newer
Hermes 3 70B

Aug 15, 2024

1.8 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-V3.1 is available from DeepInfra, Novita. Hermes 3 70B is available from DeepInfra.

DeepSeek-V3.1

deepinfra logo
Deepinfra
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M
novita logo
Novita
Input Price:Input: $0.27/1MOutput Price:Output: $1.00/1M

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

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

DeepSeek
Larger context window (163,840 tokens)
Less expensive input tokens
Less expensive output tokens
Higher GPQA score (74.9% vs 66.1%)
Higher MMLU-Pro score (83.7% vs 47.2%)
Nous Research

No standout differentiators in the data we have for this pair.

Detailed Comparison

AI Model Comparison Table
Feature
DeepSeek
DeepSeek-V3.1
Nous Research
Hermes 3 70B

FAQ

Common questions about DeepSeek-V3.1 vs Hermes 3 70B.

Which is better, DeepSeek-V3.1 or Hermes 3 70B?

DeepSeek-V3.1 significantly outperforms across most benchmarks. DeepSeek-V3.1 is made by DeepSeek and Hermes 3 70B is made by Nous Research. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does DeepSeek-V3.1 compare to Hermes 3 70B in benchmarks?

DeepSeek-V3.1 scores SimpleQA: 93.4%, MMLU-Redux: 91.8%, MMLU-Pro: 83.7%, GPQA: 74.9%, CodeForces: 69.7%. Hermes 3 70B scores MT-Bench: 89.9%, HellaSwag: 88.2%, BoolQ: 88.0%, PIQA: 84.4%, Winogrande: 83.2%.

Is DeepSeek-V3.1 cheaper than Hermes 3 70B?

DeepSeek-V3.1 is 1.3x cheaper for input tokens. DeepSeek-V3.1 costs $0.27/M input and $1.00/M output via deepinfra. Hermes 3 70B costs $0.35/M input and $1.40/M output via deepinfra.

What are the context window sizes for DeepSeek-V3.1 and Hermes 3 70B?

DeepSeek-V3.1 supports 164K 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 DeepSeek-V3.1 and Hermes 3 70B?

Key differences include context window (164K vs 131K), input pricing ($0.27 vs $0.35/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes DeepSeek-V3.1 and Hermes 3 70B?

DeepSeek-V3.1 is developed by DeepSeek and Hermes 3 70B is developed by Nous Research.

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