Hermes 4 405B Open vs 
GPT-3.5 Turbo (batch) Paid
Hermes 4 405B vs GPT-3.5 Turbo (batch) compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
GPT-3.5 Turbo (batch) — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
$3 /M outputNo per-token fees if you self-host
$0.75 /M outputManaged API (no infra to run)
Hermes 4 405B vs GPT-3.5 Turbo (batch) specs
| Spec | Hermes 4 405B | GPT-3.5 Turbo (batch) | Winner |
|---|---|---|---|
| Maker | Nous Research | OpenAI | – |
| Type | Open-weight | Proprietary | |
| Context window | 131K tokens | 16K tokens | |
| Input price | $1/M · free self-host | $0.25/M | |
| Output price | $3/M · free self-host | $0.75/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | No | Yes | |
| Self-hostable | Yes | No (API only) | |
| License | Open weights | Proprietary |
Price gap & when to choose each
GPT-3.5 Turbo (batch) is ~4.0× cheaper than Hermes 4 405B on output tokens ($0.75 vs $3 per M tokens).
- You want to self-host or run on your cloud
- You need the longer 131K context window
- You prioritize data privacy & control
- You are building open or reproducible AI
- You want frontier performance through a managed API
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | Hermes 4 405B | GPT-3.5 Turbo (batch) |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✗ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: Hermes 4 405B vs GPT-3.5 Turbo (batch)
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How Hermes 4 405B and GPT-3.5 Turbo (batch) score
| Criterion | Hermes 4 405B | GPT-3.5 Turbo (batch) |
|---|---|---|
| Cost-efficiency | 4.0 | 5.0 |
| Context window | 3.5 | 2.0 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 2.0 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
What each model is
Hermes 4 405B Open
Hermes 4 is a large-scale reasoning model built on Meta-Llama-3.1-405B and released by Nous Research. It introduces a hybrid reasoning mode, where the model can choose to deliberate internally with...
GPT-3.5 Turbo (batch) Paid
GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Frequently asked questions
Is Hermes 4 405B as good as GPT-3.5 Turbo (batch)?
Hermes 4 405B is open-weight and competitive on many tasks, but GPT-3.5 Turbo (batch) may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Can I run Hermes 4 405B locally?
Yes. Hermes 4 405B has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. GPT-3.5 Turbo (batch) is API-only and cannot be self-hosted.
Hermes 4 405B vs GPT-3.5 Turbo (batch) — which should I pick in 2026?
Choose Hermes 4 405B if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose GPT-3.5 Turbo (batch) if you want frontier capability through a managed API with zero infrastructure to run.
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