Qwen3 4B FP8
llmgateway/qwen3-4bPor llmgateway · família: qwen · lançado 2025-04-28
⚠ Este é um fine-tune da comunidade ou derivado — não um lançamento oficial do fornecedor.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Capacidades
Model fit scores
0–100 · higher is betterThese scores reward declared capabilities, context size, price and provider availability — they are not benchmark results. Use them as a directional signal alongside your own evaluation.
Coding73
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)2/20
- Provider availability1/10
Agents81
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit5/15
- Provider availability1/10
JSON / structured output100
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume20/20
Cost efficiency89
- Headline price (log-scaled)89/95
- Has prompt-cache pricing0/5
Long context46
- Context window (100K → 2M)36/90
- Has published price for full window10/10
Production-readiness50
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K15/15
- No data inconsistencies across providers10/10
- Official model (not derivative)0/15
Cost Efficiency Index
Open full calculator →Estimated cost using the recommended provider's headline rate. Each scenario fixes average input/output tokens — the assumptions are shown in the third column.
| Scenario | Cost | Assumption |
|---|---|---|
RAG answer per 1,000 RAG answers | $0.17 < $0.01 per request | 5K input tokens (query + 4 retrieved chunks of ~1K each) and a 500-token answer. Typical SaaS knowledge-base bot. |
Support ticket triage per 10,000 tickets | $0.35 < $0.01 per request | 1K input tokens (ticket body + system prompt) and a 100-token JSON classification reply. High-volume customer support. |
Data extraction per 1,000 documents | $0.09 < $0.01 per request | 2K input tokens (a single document page) and a 500-token JSON extraction. ETL / invoice / form pipelines. |
Code review per 1,000 PRs | $0.29 < $0.01 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $0.39 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalhes de preço
Preço recomendado de llmgateway · qwen3-4b-fp8
Disponível em 1 provedores
| Provedor | ID do modelo do provedor | Entrada / 1M | Saída / 1M | Contexto | Lançado |
|---|---|---|---|---|---|
| LLM Gateway llmgateway | qwen3-4b-fp8 | $0.030 | $0.050 | 131K | 2025-04-28 |
Frequently asked questions
How much does Qwen3 4B FP8 cost?
Qwen3 4B FP8 costs $0.030 per 1M input tokens and $0.050 per 1M output tokens, sourced from llmgateway. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen3 4B FP8?
Qwen3 4B FP8 has a context window of 131K tokens, with a max output of 8K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3 4B FP8 support tool calling?
Yes. Qwen3 4B FP8 supports tool calling (function calling). This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Does Qwen3 4B FP8 support structured output / JSON mode?
Yes. Qwen3 4B FP8 supports structured output / JSON-schema-constrained decoding. This makes it suitable for production agent and automation workloads where the model has to invoke external functions reliably.
Can Qwen3 4B FP8 accept image input?
No. Qwen3 4B FP8 only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen3 4B FP8 open-weight?
Yes. Qwen3 4B FP8's weights are publicly available, so you can self-host or fine-tune. Note that open weights ≠ open source — the training data and code are typically not released.
What are the best alternatives to Qwen3 4B FP8?
If Qwen3 4B FP8 doesn't fit, consider Auto Route, Seed 1.6 Flash (250715), Seed 1.6 (250615). Each one targets the same use case — see the Related links below for direct head-to-head pages.
Where does this data come from?
All numbers come from the public models.dev API and are normalised into a single canonical model record. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
More llmgateway models
- Auto RouteUnknown pricing
- Seed 1.6 Flash (250715)$0.07 in / $0.30 out
- Seed 1.6 (250615)$0.25 in / $2.00 out
- Ministral 8B$0.15 in / $0.15 out
- Seed 1.8 (251228)$0.25 in / $2.00 out
Capability lists this model is in
Última atualização:
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.