qwen3-vl-8b
llamagate · chat model
qwen3-vl-8b is listed here as a chat model from llamagate. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.
Input
$0.1500 / 1M tokens
Output
$0.5500 / 1M tokens
Cached input
N/A
Context
8.2K
Quick read
Best for
Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.
Things to verify
Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.
Pricing
| Item | Price |
|---|---|
| Input | $0.1500 / 1M tokens |
| Output | $0.5500 / 1M tokens |
| Embedding | $0.1500 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
32.8K
Max output tokens
8.2K
Max tokens
8.2K
Capabilities
| Capability | Supported |
|---|---|
| Vision | ✅ |
| Function calling | ✅ |
| Parallel function calling | — |
| Tool choice | — |
| Prompt caching | — |
| Reasoning | — |
| Response schema | ✅ |
| System messages | — |
| Audio input | — |
| Audio output | — |
| Web search | — |
| PDF input | — |
| Video input | — |
Sources
| Source links | |
| Pricing data | LiteLLM model cost map |
| Synced at | 2026-05-28 |
Similar models
This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.
Comparing from
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| qwen3-vl-8b llamagate | In $0.1500 / 1M tokens Out $0.5500 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| gemini-2.0-flash vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | audioimage
Output: audio, image, text | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 53% |
| llama-4-maverick-17b-128e-instruct Groq | In $0.2000 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 51% |
| nova-lite vercel_ai_gateway | In $0.0600 / 1M tokens Out $0.2400 / 1M tokens | imagetext
Output: text | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 48% |
| llama-4-scout-17b-16e-instruct Groq | In $0.1100 / 1M tokens Out $0.3400 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 47% |
| google.gemini-2.5-flash oci | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 65.5K | Partial I/O overlap Overall 46% |
| gpt-4o-mini vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | imagetext
Output: text | VisionFunction callingResponse schema | 16.4K | Partial I/O overlap Overall 45% |
| nova-pro vercel_ai_gateway | In $0.8000 / 1M tokens Out $3.2000 / 1M tokens | imagetext
Output: text | VisionFunction callingResponse schema | 8.2K | Partial I/O overlap Overall 44% |
| gemma3-4b llamagate | In $0.0300 / 1M tokens Out $0.0800 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 8.2K | Same provider Overall 43% |
| ernie-4.5-vl-28b-a3b novita | In $0.1400 / 1M tokens Out $0.5600 / 1M tokens | imagetext
Output: text | VisionFunction calling | 8.0K | Partial I/O overlap Overall 41% |
| mistral-7b-v0.3 llamagate | In $0.1000 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 41% |
| dolphin3-8b llamagate | In $0.0800 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 39% |
| qwen2.5-coder-7b llamagate | In $0.0600 / 1M tokens Out $0.1200 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 38% |
| google.gemini-2.5-flash-lite oci | In $0.0750 / 1M tokens Out $0.3000 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 65.5K | Partial I/O overlap Overall 37% |
| qwen3-8b llamagate | In $0.0400 / 1M tokens Out $0.1400 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 37% |
| llama-3.2-3b llamagate | In $0.0400 / 1M tokens Out $0.0800 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 36% |
| Phi-3.5-vision-instruct azure_ai | In $0.1300 / 1M tokens Out $0.5200 / 1M tokens | imagetext
Output: text | Vision | 4.1K | Partial I/O overlap Overall 32% |
| google.gemini-2.5-pro oci | In $1.2500 / 1M tokens Out $10.0000 / 1M tokens |
Output: unknown | VisionFunction callingResponse schema | 65.5K | Partial I/O overlap Overall 29% |
| Qwen3-235B-A22B deepinfra | In $0.1800 / 1M tokens Out $0.5400 / 1M tokens | text
Output: text | Function calling | 41.0K | Partial I/O overlap Overall 28% |
| Phi-3-mini-128k-instruct azure_ai | In $0.1300 / 1M tokens Out $0.5200 / 1M tokens | text
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 26% |
| Phi-3-mini-4k-instruct azure_ai | In $0.1300 / 1M tokens Out $0.5200 / 1M tokens | text
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 26% |
| Phi-3.5-mini-instruct azure_ai | In $0.1300 / 1M tokens Out $0.5200 / 1M tokens | text
Output: text | Low overlap | 4.1K | Partial I/O overlap Overall 26% |
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