DeepSeek V3.1 Terminus vs WizardLM-2 8x22B (Comparative Analysis)
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Comparative Analysis: DeepSeek V3.1 Terminus vs. WizardLM-2 8x22B
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Overview
WizardLM-2 8x22B was released 1 year before DeepSeek V3.1 Terminus.
Model Provider The organization behind this AI's development | ||
Input Context Window Maximum input tokens this model can process at once | 163.8K tokens | 65.5K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 32.8K tokens | 8K tokens |
Release Date When this model first became publicly available | September 22, 2025 10 months ago September 22nd, 2025 | April 16, 2024 2 years ago April 16th, 2024 |
Knowledge Cutoff Latest training-data date reported by the provider | March 31, 2025 | April 30, 2024 |
Capabilities & Features
Compare supported features, modalities, and advanced capabilities
DeepSeek V3.1 Terminus | WizardLM-2 8x22B | |
|---|---|---|
Input Types Supported input formats | 📝Text | 📝Text |
Reasoning Controls Defaults and configurable reasoning effort | Optional | Not reported |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | DeepSeek | Mistral |
Key Features Advanced capabilities | ✓Function Calling✓Structured Output✓Reasoning ModeContent Moderation | Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Available on HuggingFace → | Available on HuggingFace → |
Pricing
DeepSeek V3.1 Terminus is roughly 0.4x less expensive compared to WizardLM-2 8x22B for input tokens and roughly 1.6x more expensive for output tokens.
Input Token Cost Cost per million input tokens | $0.27 per million tokens | $0.62 per million tokens |
Output Token Cost Cost per million output tokens | $1.00 per million tokens | $0.62 per million tokens |
Cache Read Cost Cost to reuse cached input tokens | $0.14 per million tokens | Not specified |
Benchmarks
Compare relevant benchmarks between DeepSeek V3.1 Terminus and WizardLM-2 8x22B.
Intelligence Index Overall model quality across independent evaluations | 30.4 (Artificial Analysis index; higher is better) | Benchmark not available. |
Coding Index Programming performance across independent evaluations | 43.5 (Artificial Analysis index; higher is better) | Benchmark not available. |
Agentic Index Ability to complete multi-step agentic tasks | 18.1 (Artificial Analysis index; higher is better) | Benchmark not available. |
Best Design Arena Score Highest human-preference Elo score across design arenas | 1,219 Elo (#42 in UI Component (59.3% win rate)) | Benchmark not available. |
At a Glance
Quick overview of what makes DeepSeek V3.1 Terminus and WizardLM-2 8x22B unique.
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Compare WizardLM-2 8x22B with:
🚀Programming
Best models for coding and development
🎨Creative & Roleplay
Models optimized for creative writing
📢Marketing
Content creation and marketing tasks
💻Technology
Technical analysis and explanations
🔬Science
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🌐Translation
Multilingual translation tasks