Qwen3-Coder 480B-A35B Instruct
hyper/qwen3-coder-480b-a35b-instruct-int4-mixed-arPor hyper · familia: qwen · lanzado 2026-04-30 · fecha de conocimiento: 2025-04
⚠ Este es un ajuste fino de la comunidad o un derivado — no un lanzamiento oficial del editor.
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.
Coding42
- Tool calling40/40
- Structured output0/20
- Reasoning0/10
- Context window (100K → 1M)1/20
- Provider availability1/10
Agents43
- Tool calling35/35
- Structured output0/25
- Reasoning0/15
- Output token limit7/15
- Provider availability1/10
JSON / structured output45
- Structured output / JSON mode0/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume15/20
Cost efficiency52
- Headline price (log-scaled)52/95
- Has prompt-cache pricing0/5
Long context41
- Context window (100K → 2M)31/90
- 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 | $4.05 < $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 | $8.10 < $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 | $2.24 < $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 | $6.89 < $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 | $8.46 < $0.01 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
Detalle de precios
Precio recomendado de hyper · qwen3-coder-480b-a35b-instruct-int4-mixed-ar
Disponible en 1 proveedores
| Proveedor | ID de modelo del proveedor | Entrada / 1M | Salida / 1M | Contexto | Lanzado |
|---|---|---|---|---|---|
| Charm Hyper hyper | qwen3-coder-480b-a35b-instruct-int4-mixed-ar | $0.601 | $2.08 | 106K | 2026-04-30 |
Frequently asked questions
How much does Qwen3-Coder 480B-A35B Instruct cost?
Qwen3-Coder 480B-A35B Instruct costs $0.601 per 1M input tokens and $2.08 per 1M output tokens, sourced from hyper. 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-Coder 480B-A35B Instruct?
Qwen3-Coder 480B-A35B Instruct has a context window of 106K tokens, with a max output of 11K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3-Coder 480B-A35B Instruct support tool calling?
Yes. Qwen3-Coder 480B-A35B Instruct 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-Coder 480B-A35B Instruct support structured output / JSON mode?
Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3-Coder 480B-A35B Instruct in our data source. Verify with hyper's official documentation before relying on it in production.
Can Qwen3-Coder 480B-A35B Instruct accept image input?
No. Qwen3-Coder 480B-A35B Instruct only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.
Is Qwen3-Coder 480B-A35B Instruct open-weight?
Yes. Qwen3-Coder 480B-A35B Instruct'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-Coder 480B-A35B Instruct?
If Qwen3-Coder 480B-A35B Instruct doesn't fit, consider GPT OSS 120B. 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 are normalised into a single canonical model record and reconciled with each provider's official documentation. We re-pull daily and write any changes (price, context, capability) to the /changelog page.
Explore more
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- GPT OSS 120B$0.18 in / $0.68 out
Capability lists this model is in
Última actualización:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.