Qwen: Qwen3 8B
Analysis Summary
Qwen3 8B is a compact Qwen model with a 131,072-token context window, tool use, and function calling. Its supplied reasoning and coding results support lightweight assistance, while the lower agentic and terminal results indicate that complex autonomous execution is not its strength. The text-only modality also limits workflows involving images or files.
It suits SEO classification, metadata drafting, structured extraction, simple code generation, and high-volume transformations where tasks can be clearly constrained. The context window is useful for large briefs or reference sets, but teams should not assume that capacity translates into reliable long-document reasoning. Human review is appropriate for strategy, nuanced client copy, and multi-step agents.
At $0.117 per million input tokens and $0.455 per million output tokens, it is a cost-effective volume option. Adopt it for routine structured work with clear validation rules.
Assessed August 9, 2026
Editorial notes
Qwen3 8B offers a 131K context, function calling, and low pricing for structured automation and lightweight coding; its reasoning and agentic reliability remain limited for complex client work.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Qwen3 8B offers a 131K context, function calling, and low pricing for structured automation and lightweight coding; its reasoning and agentic reliability remain limited for complex client work.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
8.3 Intelligence Index·9 Coding Index·1.6 Agentic Index·19 Math Index
How Qwen: Qwen3 8B compares
Qwen: Qwen3 8B ranks #312 of 432 AI models we track for overall intelligence, #185 of 205 for coding, #166 of 187 for agentic tasks. Its 131K-token context window is larger than 49% of the models we list. At $0.12 per million input tokens it is cheaper than 64% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in technical corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $0.12 | $0.000117 |
| Output | $0.46 | $0.000455 |
What would Qwen: Qwen3 8B cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 743 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Qwen: Qwen3 8B for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Qwen: Qwen3 8B
Qwen3-8B is a dense 8.2B parameter causal language model from the Qwen3 series, designed for both reasoning-heavy tasks and efficient dialogue. It supports seamless switching between "thinking" mode for math,..
Frequently asked questions about Qwen: Qwen3 8B
How much does Qwen: Qwen3 8B cost?
Qwen: Qwen3 8B costs $0.12 per million input tokens and $0.46 per million output tokens.
What is the context window of Qwen: Qwen3 8B?
Qwen: Qwen3 8B has a context window of 131,072 tokens (131K).
Is Qwen: Qwen3 8B good for coding?
On our coding benchmark index, Qwen: Qwen3 8B ranks #185 of 205 models, placing it in the broader range of the field for code generation and debugging.
What can Qwen: Qwen3 8B do?
Qwen: Qwen3 8B supports tool use and function calling.
Who created Qwen: Qwen3 8B?
Qwen: Qwen3 8B is developed by Qwen and was released on April 28, 2025.