OpenChat 3.5 (0106) vs Zephyr 7B Beta
Compare the listed model data for OpenChat 3.5 (0106) by openchat and Zephyr 7B Beta by HuggingFaceH4. Benchmark and pricing records are not a controlled test and may change.
Data last updated: 2026-10-16. Verify current model details with each provider.
What the listed data says
OpenChat 3.5 (0106): 8K tokens; Zephyr 7B Beta: 32K tokens. Zephyr 7B Beta has the larger listed context window. OpenChat 3.5 (0106) is listed for no specific capability flags; Zephyr 7B Beta is listed for no specific capability flags. Shared catalog benchmark entries: MT-Bench: OpenChat 3.5 (0106) 7.8; Zephyr 7B Beta 7.34. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.
Catalog source links
Use these model and provider links to verify current specifications, pricing, and availability.
Computed differences from catalog data
- The listed context windows are 8K tokens and 32K tokens; the larger is 4× the smaller.
- On shared numeric benchmark entries, MT-Bench: OpenChat 3.5 (0106) − Zephyr 7B Beta = +0.46 points (7.8 vs 7.34).
- The first listed parameter quantities are 7B and 7B; the larger quantity is 1× the smaller. Total and active MoE parameters are not directly equivalent.
- The catalog release dates are January 2024 and October 2023, about 3 months apart at the precision supplied.
Cost example: 1M input and 1M output tokens
A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.
Choose OpenChat 3.5 (0106) if…
Choose OpenChat 3.5 (0106) when your task aligns with catalog-listed uses or strengths such as Legacy OpenChat 3.5 deployments, Research on efficient instruction tuning, 7.8 MT-Bench — first 7B to match ChatGPT-3.5 on MT-Bench at January 2024 release, C-RLFT training: outperforms standard RLHF without proprietary preference data.
Choose Zephyr 7B Beta if…
Choose Zephyr 7B Beta when your task aligns with catalog-listed uses or strengths such as Research on DPO training effectiveness, Legacy Zephyr deployments, DPO training without RLHF — research contribution showing DPO effectiveness, MIT license from HuggingFace.
OpenChat 3.5 (0106)
Community-trained OpenChat 3.5 — outperforms ChatGPT-3.5 on MT-Bench at just 7B params. Friendly, conversational tone.
Parameters: 7B
Context: 8K tokens
Catalog pricing: MIT — free
Zephyr 7B Beta
Zephyr 7B Beta — helpful assistant fine-tuned from Mistral-7B, known for clear, well-structured answers and great instruction following.
Parameters: 7B
Context: 32K tokens
Catalog pricing: MIT — free
Feature Comparison — OpenChat 3.5 (0106) vs Zephyr 7B Beta
| Specification | OpenChat 3.5 (0106) | Zephyr 7B Beta |
|---|---|---|
| Provider | openchat | HuggingFaceH4 |
| Parameters | 7B | 7B |
| Context window | 8K tokens | 32K tokens |
| Maximum output | Not listed | Not listed |
| Catalog pricing | MIT — free | MIT — free |
| Listed input/output cost per 1M tokens | Separate numeric input/output rates not listed | Separate numeric input/output rates not listed |
| License | MIT | MIT |
| Coding support | Not listed | Not listed |
| Reasoning support | Not listed | Not listed |
| Vision input | Not listed | Not listed |
| Multimodal | Not listed | Not listed |
| Open weights | Yes | Yes |
| Benchmark: MT-Bench | 7.8 | 7.34 |
Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.
Frequently Asked Questions
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Explore these models and related comparisons
Read the OpenChat 3.5 (0106) model profile and Zephyr 7B Beta model profile, or browse the model directory.