AI Model Intelligence

Qwen3.5 35B-A3B Base

thinkingmachines/qwen3-5-35b-a3b-base

By thinkingmachines · family: qwen · released 2026-02-24

⚠ This is a community fine-tune or derivative — not an official vendor release.

$0.540
Input / 1M tokens
$1.33
Output / 1M tokens
66K
Context window
66K
Max output

Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.

Capabilities

✗ Tool calling✗ Reasoning? Structured output✗ Attachments✓ Open weights✓ Temperature control
Modalities: input text · output text

Model fit scores

0–100 · higher is better

These 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.

Coding1
  • Tool calling0/40
  • Structured output0/20
  • Reasoning0/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents16
  • Tool calling0/35
  • Structured output0/25
  • Reasoning0/15
  • Output token limit15/15
  • Provider availability1/10
JSON / structured output26
  • Structured output / JSON mode0/50
  • Tool calling0/20
  • Temperature control10/10
  • Price-friendly for high-volume16/20
Cost efficiency61
  • Headline price (log-scaled)56/95
  • Has prompt-cache pricing5/5
Long context0
  • Context ≥ 100K0/100
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.

ScenarioCostAssumption
RAG answer
per 1,000 RAG answers
$3.37
< $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
$6.74
< $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
$1.75
< $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
$5.66
< $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
$7.28
< $0.01 per request
12K input tokens (long-running tool history) and a 600-token tool-call decision. Cost per agent step.

Pricing detail

Recommended pricing from thinkingmachines · Qwen/Qwen3.5-35B-A3B-Base

$0.540
Input
$1.33
Output
$0.108
Cache read

Available on 1 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
Thinking Machines
thinkingmachines
Qwen/Qwen3.5-35B-A3B-Base$0.540$1.3366K2026-02-24

Frequently asked questions

How much does Qwen3.5 35B-A3B Base cost?

Qwen3.5 35B-A3B Base costs $0.540 per 1M input tokens and $1.33 per 1M output tokens, sourced from thinkingmachines. Cache reads, audio tokens and >200K-context tiers (where applicable) are listed in the Pricing detail block above.

What is the context window of Qwen3.5 35B-A3B Base?

Qwen3.5 35B-A3B Base has a context window of 66K tokens, with a max output of 66K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3.5 35B-A3B Base support tool calling?

No. Qwen3.5 35B-A3B Base does not support tool calling (function calling). If your workflow requires it, look at the /capabilities/tool-calling list for alternatives.

Does Qwen3.5 35B-A3B Base support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3.5 35B-A3B Base in our data source. Verify with thinkingmachines's official documentation before relying on it in production.

Can Qwen3.5 35B-A3B Base accept image input?

No. Qwen3.5 35B-A3B Base only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Qwen3.5 35B-A3B Base open-weight?

Yes. Qwen3.5 35B-A3B Base'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 Qwen3.5 35B-A3B Base?

If Qwen3.5 35B-A3B Base doesn't fit, consider Inkling (256K), Inkling Small, Inkling. 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.

More thinkingmachines models

Capability lists this model is in

Last updated:

Pricing and capabilities are refreshed daily and reconciled against each provider's official documentation. Always verify critical production decisions with the provider directly.