AI Model Intelligence

Qwen3 1.7B Base

pioneer/qwen3-1-7b-base

By pioneer · released 2025-03-31

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

$0.100
Input / 1M tokens
$0.100
Output / 1M tokens
33K
Context window
4K
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.

Coding51
  • Tool calling40/40
  • Structured output0/20
  • Reasoning10/10
  • Context window (100K → 1M)0/20
  • Provider availability1/10
Agents51
  • Tool calling35/35
  • Structured output0/25
  • Reasoning15/15
  • Output token limit0/15
  • Provider availability1/10
JSON / structured output50
  • Structured output / JSON mode0/50
  • Tool calling20/20
  • Temperature control10/10
  • Price-friendly for high-volume20/20
Cost efficiency84
  • Headline price (log-scaled)79/95
  • 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
$0.55
< $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
$1.10
< $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
$0.25
< $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
$0.90
< $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
$1.26
< $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 pioneer · Qwen/Qwen3-1.7B-Base

$0.100
Input
$0.100
Output
$0.100
Cache read
$0.100
Cache write

Available on 1 providers

ProviderProvider model idInput / 1MOutput / 1MContextReleased
Pioneer
pioneer
Qwen/Qwen3-1.7B-Base$0.100$0.10033K2025-03-31

Frequently asked questions

How much does Qwen3 1.7B Base cost?

Qwen3 1.7B Base costs $0.100 per 1M input tokens and $0.100 per 1M output tokens, sourced from pioneer. 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 1.7B Base?

Qwen3 1.7B Base has a context window of 33K tokens, with a max output of 4K tokens per reply. This is the total combined size of prompt + completion.

Does Qwen3 1.7B Base support tool calling?

Yes. Qwen3 1.7B Base 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 1.7B Base support structured output / JSON mode?

Support for structured output / JSON-schema-constrained decoding is not reported for Qwen3 1.7B Base in our data source. Verify with pioneer's official documentation before relying on it in production.

Can Qwen3 1.7B Base accept image input?

No. Qwen3 1.7B Base only accepts text as input. If you need image input, see our /capabilities/vision list for current vision-capable models.

Is Qwen3 1.7B Base open-weight?

No. Qwen3 1.7B Base is a proprietary model — only pioneer (and any approved hosting partners) can serve it. The pricing above reflects the cheapest API access.

What are the best alternatives to Qwen3 1.7B Base?

If Qwen3 1.7B Base doesn't fit, consider LFM2 24B A2B, SmolLM3 3B Base, MiMo-V2.5. 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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Capability lists this model is in

See also

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.