Qwen3.6 35B-A3B
llmtr/qwen3-6-35bمن llmtr · العائلة: qwen · أُصدِر 2026-04-17
⚠ هذا نموذج مُحسَّن من المجتمع أو مشتق — وليس إصدارًا رسميًا من المزود.
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
القدرات
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.
Coding71
- Tool calling40/40
- Structured output20/20
- Reasoning10/10
- Context window (100K → 1M)0/20
- Provider availability1/10
Agents91
- Tool calling35/35
- Structured output25/25
- Reasoning15/15
- Output token limit15/15
- Provider availability1/10
JSON / structured output80
- Structured output / JSON mode50/50
- Tool calling20/20
- Temperature control10/10
- Price-friendly for high-volume0/20
Cost efficiency33
- Headline price (log-scaled)33/95
- Has prompt-cache pricing0/5
Long context0
- Context ≥ 100K0/100
Vision64
- Accepts image input50/50
- Context window (10K → 1M)3/30
- Has published price10/10
- Provider availability1/10
Production-readiness43
- Number of independent providers5/40
- Has published per-token price20/20
- Context window ≥ 8K8/15
- 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 | $30.00 $0.03 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 | $60.00 < $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 | $15.00 $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 | $50.00 $0.05 per request | 8K input tokens (diff + surrounding files) and a 1K-token review comment. PR-bot workloads. |
Agent step per 1,000 steps | $66.00 $0.07 per request | 12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step. |
تفاصيل التسعير
السعر المُوصى به من llmtr · qwen3-6-35b
متاح لدى 1 مزود
| المزود | معرف نموذج المزود | إدخال / 1M | إخراج / 1M | السياق | تاريخ الإصدار |
|---|---|---|---|---|---|
| LLMTR llmtr | qwen3-6-35b | $5.00 | $10.00 | 16K | 2026-04-17 |
Frequently asked questions
How much does Qwen3.6 35B-A3B cost?
Qwen3.6 35B-A3B costs $5.00 per 1M input tokens and $10.00 per 1M output tokens, sourced from llmtr. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.
What is the context window of Qwen3.6 35B-A3B?
Qwen3.6 35B-A3B has a context window of 16K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.
Does Qwen3.6 35B-A3B support tool calling?
Yes. Qwen3.6 35B-A3B 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 Qwen3.6 35B-A3B support structured output / JSON mode?
Yes. Qwen3.6 35B-A3B 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 Qwen3.6 35B-A3B accept image input?
Yes. Qwen3.6 35B-A3B accepts both text and image input. Vision pricing per image is usually billed on top of the regular token rate — check llmtr's docs for the exact rule.
Is Qwen3.6 35B-A3B open-weight?
Yes. Qwen3.6 35B-A3B'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 Qwen3.6 35B-A3B?
If Qwen3.6 35B-A3B doesn't fit, consider Magibu 11B v8, Trendyol 7B, Sincap. 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
More llmtr models
- Magibu 11B v8Unknown pricing
- Trendyol 7BUnknown pricing
- SincapUnknown pricing
Capability lists this model is in
آخر تحديث:
Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.