Qwen: Qwen3 8B
Analysis Summary
Qwen3 8B is a compact general model with a 131K context window and built-in support for tool use and function calling. It is positioned for economical text workflows, with enough context for long briefs, content templates, and structured extraction while remaining cheaper than larger models.
It fits SEO outlines, metadata generation, classification, simple customer-service drafts, and tightly constrained tool calls. The available results show limited reasoning, coding, and agentic reliability, so it should not manage complex codebases, high-stakes analysis, or unmonitored multi-step actions. Text-only input further narrows its role.
Its pricing supports high-volume automation when outputs are checked. Use it as a routine production tier, not as the primary model for difficult client work.
Assessed September 7, 2026
Editorial notes
Qwen3 8B offers a 131K context window, function calling, and low-cost support for routine structured work. Its limited reasoning, coding, and agentic performance make it unsuitable for complex autonomous workflows.
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 window, function calling, and low-cost support for routine structured work. Its limited reasoning, coding, and agentic performance make it unsuitable for complex autonomous workflows.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
2.8 Intelligence Index·9 Coding Index·0.8 Agentic Index·19 Math Index
How Qwen: Qwen3 8B compares
Qwen: Qwen3 8B ranks #329 of 435 AI models we track for overall intelligence, #188 of 208 for coding, #176 of 190 for agentic tasks. Its 131K-token context window is larger than 48% 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?
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A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 756 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 #188 of 208 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.