 Morph V3 Fast |  Qwen3 VL 8B Instruct | |
|---|---|---|
Model Provider The organization behind this AI's development | Morph | Qwen |
Input Context Window Maximum input tokens this model can process at once | 81.9K tokens | 131.1K tokens |
Output Token Limit Maximum output tokens this model can generate at once | 38K tokens | 32.8K tokens |
Release Date When this model first became publicly available | July 7, 2025 4 months ago July 7th, 2025 | October 14, 2025 1 month ago October 14th, 2025 |
Morph V3 Fast | Qwen3 VL 8B Instruct | |
|---|---|---|
Input Types Supported input formats | 📝Text | 🖼️Image📝Text |
Output Types Supported output formats | 📝Text | 📝Text |
Tokenizer Text encoding system | Other | Qwen3 |
Key Features Advanced capabilities | Function CallingStructured OutputReasoning ModeContent Moderation | ✓Function Calling✓Structured OutputReasoning ModeContent Moderation |
Open Source Model availability | Proprietary | Available on HuggingFace → |
| Morph V3 Fast | Qwen3 VL 8B Instruct | |
|---|---|---|
Input Token Cost Cost per million input tokens | $0.80 per million tokens | $0.08 per million tokens |
Output Token Cost Cost per million outut tokens | $1.20 per million tokens | $0.50 per million tokens |
| Morph V3 Fast | Qwen3 VL 8B Instruct | |
|---|---|---|
MMLU Measures knowledge across 57 subjects like law, math, history, and science | Benchmark not available. | Benchmark not available. |
MMMU Measures understanding of combined text and images across various domains | Benchmark not available. | Benchmark not available. |
HellaSwag Measures common sense reasoning by having models complete sentences about everyday situations | Benchmark not available. | Benchmark not available. |
Morph V3 Fast by Morph is a text-based AI model. It can handle standard conversations with its 81.9K token context window. Reasonably priced at $0.80/M input and $1.20/M output tokens. Released July 7th, 2025.Qwen3 VL 8B Instruct by Qwen understands both text and images, can use external tools and APIs, generates structured data. It can handle standard conversations with its 131.1K token context window. Very affordable at $0.08/M input and $0.50/M output tokens. Released October 14th, 2025.Compare your models with top performers across different categories
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