LLM Pricing
← All models

qwen3-8b

llamagate · chat model

qwen3-8b 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
$0.0400 / 1M tokens
Output
$0.1400 / 1M tokens
Cached input
N/A
Context
8.2K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification.

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
$0.0400 / 1M tokens
Output
$0.1400 / 1M tokens
Embedding
$0.0400 / 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
qwen3-8b
llamagate
In $0.0400 / 1M tokens
Out $0.1400 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
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 59%
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 55%
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 55%
dolphin3-8b
llamagate
In $0.0800 / 1M tokens
Out $0.1500 / 1M tokens
Output: unknown
Function callingResponse schema
8.2K
Same provider
Overall 55%
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 54%
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 53%
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 51%
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%
amazon.nova-micro-v1:0
bedrock_converse
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Function callingResponse schema
10.0K
Partial I/O overlap
Overall 48%
nova-micro-v1
amazon_nova
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
Output: unknown
Function callingResponse schema
10.0K
Partial I/O overlap
Overall 48%
us.amazon.nova-micro-v1:0
bedrock_converse
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Function callingResponse schema
10.0K
Partial I/O overlap
Overall 48%
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 39%
qwen3-8b-fp8
novita
In $0.0350 / 1M tokens
Out $0.1380 / 1M tokens
text
Output: text
Low overlap
20.0K
Partial I/O overlap
Overall 25%
autoglm-phone-9b-multilingual
novita
In $0.0350 / 1M tokens
Out $0.1380 / 1M tokens
imagetext
Output: text
Low overlap
65.5K
Partial I/O overlap
Overall 21%