dolphin3-8b
llamagate · chat model
dolphin3-8b 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
$0.0800 / 1M tokens
Output
$0.1500 / 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 | $0.0800 / 1M tokens |
| Output | $0.1500 / 1M tokens |
| Embedding | $0.0800 / 1M tokens |
Token limits
Context window
8.2K
Max input tokens
128.0K
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 |
|---|---|---|---|---|---|
| dolphin3-8b llamagate | In $0.0800 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| 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 58% |
| llama-3.2-3b vercel_ai_gateway | In $0.1500 / 1M tokens Out $0.1500 / 1M tokens | text
Output: text | Function callingResponse schema | 8.2K | Partial I/O overlap Overall 56% |
| 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 56% |
| qwen3-8b llamagate | In $0.0400 / 1M tokens Out $0.1400 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 55% |
| nova-micro vercel_ai_gateway | In $0.0350 / 1M tokens Out $0.1400 / 1M tokens | text
Output: text | Function callingResponse schema | 8.2K | Partial I/O overlap Overall 54% |
| openthinker-7b llamagate | In $0.0800 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 52% |
| 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 50% |
| deepseek-coder-6.7b llamagate | In $0.0600 / 1M tokens Out $0.1200 / 1M tokens |
Output: unknown | Function callingResponse schema | 4.1K | Same provider Overall 48% |
| codellama-7b llamagate | In $0.0600 / 1M tokens Out $0.1200 / 1M tokens |
Output: unknown | Function callingResponse schema | 4.1K | Same provider Overall 48% |
| llama-3.1-8b llamagate | In $0.0300 / 1M tokens Out $0.0500 / 1M tokens |
Output: unknown | Function callingResponse schema | 8.2K | Same provider Overall 47% |
| deepseek-r1-7b-qwen llamagate | In $0.0800 / 1M tokens Out $0.1500 / 1M tokens |
Output: unknown | Function callingResponse schema | 16.4K | Same provider Overall 44% |
| llama-3.1-8b vercel_ai_gateway | In $0.0500 / 1M tokens Out $0.0800 / 1M tokens | text
Output: text | Function callingResponse schema | 131.1K | Partial I/O overlap Overall 37% |
| phi-4 deepinfra | In $0.0700 / 1M tokens Out $0.1400 / 1M tokens | text
Output: text | Function calling | 16.4K | Partial I/O overlap Overall 34% |
| gemma-3-27b-it deepinfra | In $0.0900 / 1M tokens Out $0.1600 / 1M tokens | imagetext
Output: text | Function calling | 131.1K | Partial I/O overlap Overall 28% |
| Meta-Llama-3.2-3B-Instruct sambanova | In $0.0800 / 1M tokens Out $0.1600 / 1M tokens |
Output: unknown | Low overlap | 4.1K | Partial I/O overlap Overall 27% |
No models match this filter.