DeepSeek-V4-Pro-0813 vs Hermes 3 70B
Comparing DeepSeek-V4-Pro-0813 and Hermes 3 70B across benchmarks, pricing, and capabilities.
DeepSeek · Nous Research · Updated for 2026
Which is better?
DeepSeek-V4-Pro-0813 and Hermes 3 70B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.
On price, DeepSeek-V4-Pro-0813 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
DeepSeek-V4-Pro-0813 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.
Based on current benchmark, pricing, and model metadata for 2026.
Choose DeepSeek-V4-Pro-0813
- cost matters — it's about 1.1x cheaper per token
- you process long inputs — it offers a 1,048,576 token context window
- you want the most recent training data — it shipped Aug 2026
Choose Hermes 3 70B
- you want predictable pricing at $0.35/M input and $1.40/M output
At a glance
The differences that matter most.
Performance Benchmarks
Comparative analysis across standard metrics
DeepSeek-V4-Pro-0813 and Hermes 3 70Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Arena Performance
Playground indexes and blind preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, DeepSeek-V4-Pro-0813 ($0.43/1M tokens) is 1.2x more expensive than Hermes 3 70B ($0.35/1M tokens).
For output processing, DeepSeek-V4-Pro-0813 ($0.87/1M tokens) is 1.6x cheaper than Hermes 3 70B ($1.40/1M tokens).
In conclusion, Hermes 3 70B is more expensive than DeepSeek-V4-Pro-0813.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
DeepSeek-V4-Pro-0813 has 1530.0B more parameters than Hermes 3 70B, making it 2185.7% larger.
Context Window
Maximum input and output token capacity
DeepSeek-V4-Pro-0813 accepts 1,048,576 input tokens compared to Hermes 3 70B's 131,072 tokens. DeepSeek-V4-Pro-0813 can generate longer responses up to 393,216 tokens, while Hermes 3 70B is limited to 16,384 tokens.
License
Usage and distribution terms
DeepSeek-V4-Pro-0813 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.
MIT
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
DeepSeek-V4-Pro-0813 was released on 2026-08-13, while Hermes 3 70B was released on 2024-08-15.
DeepSeek-V4-Pro-0813 is 24 months newer than Hermes 3 70B.
Aug 13, 2026
1 weeks ago
2.0yr newerAug 15, 2024
2.0 years ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
DeepSeek-V4-Pro-0813 is available from DeepSeek, DeepInfra, Novita, Together. Hermes 3 70B is available from DeepInfra.
DeepSeek-V4-Pro-0813
Hermes 3 70B
Outputs Comparison
Judge for yourself.
Run your own prompts against DeepSeek-V4-Pro-0813 and Hermes 3 70B side-by-side, then vote on the output you prefer.
FAQ
Common questions about DeepSeek-V4-Pro-0813 vs Hermes 3 70B.