Qwen 3.8 Flash API Pricing: Budget AI with Tool Calling at $0.16/M Tokens

Q: How much does Qwen 3.8 Flash cost?

Qwen 3.8 Flash costs $0.16 per million input tokens and $0.47 per million output tokens via OpenRouter. This positions it as a budget model with tool calling — more expensive than Qwen 3.7 Flash ($0.03/$0.13) but significantly cheaper than Claude Haiku 4.5 ($1/$5) or GPT-5.4 nano ($0.20/$1.25).

Q: What is the context window of Qwen 3.8 Flash?

Qwen 3.8 Flash has a 1 million token context window. This matches Qwen 3.7 Flash and is large enough for document processing, code analysis, and multi-turn conversations.

Q: Does Qwen 3.8 Flash support tool calling?

Yes — Qwen 3.8 Flash supports tool calling and JSON-schema structured outputs. This is a key differentiator from Qwen 3.7 Flash, which does not support tool calling. If you need function calling or agentic workflows on a budget, Qwen 3.8 Flash is the cheapest option.

Q: Where is Qwen 3.8 Flash available?

Qwen 3.8 Flash is available through OpenRouter (model ID: qwen/qwen3.8-flash). It is not available directly through OpenAI or Anthropic's APIs. The hosted Flash model is distinct from the open-weight experimental Qwen3.8-Flash-Next model.

Qwen 3.8 Flash adds tool calling and structured outputs to the budget tier — at $0.16/M input, $0.47/M output via OpenRouter.

Updated Aug 27, 2026 · 97 models tracked across 11 providers

TL;DR

Price: $0.16/M input, $0.47/M output — budget pricing with tool calling support
Context: 1M tokens — same as Qwen 3.7 Flash
Key feature: Tool calling + JSON-schema structured outputs (3.7 Flash lacks this)
Provider: OpenRouter (model ID: qwen/qwen3.8-flash)
Released: August 26, 2026
Best for: Agentic workflows, function calling, structured extraction on a budget

What's New in Qwen 3.8 Flash

Qwen 3.8 Flash (released Aug 26, 2026) fills a gap in the budget tier: tool calling and structured outputs at a price point far below competitors. While Qwen 3.7 Flash remains the cheapest model overall, it doesn't support function calling — a requirement for many agentic and API-integrated workflows.

Important: The hosted Qwen 3.8 Flash (qwen/qwen38-flash) is distinct from the open-weight experimental Qwen3.8-Flash-Next model. This page covers the hosted version available via OpenRouter.

Qwen 3.8 Flash Pricing Breakdown

At $0.16 per million input tokens and $0.47 per million output tokens, Qwen 3.8 Flash is positioned between ultra-budget models (Qwen 3.7 Flash, GPT-5 nano) and mid-tier models (Claude Haiku 4.5, GPT-5.4 nano). Here's how the costs scale:

Monthly Volume	Input Cost	Output Cost	Total Cost
1M tokens	$0.16	$0.47	$0.63
10M tokens	$1.60	$4.70	$6.30
100M tokens	$16.00	$47.00	$63.00
1B tokens	$160.00	$470.00	$630.00

At 100M tokens/month, Qwen 3.8 Flash costs $63. The same volume on Claude Haiku 4.5 would cost $450, and on GPT-5.4 nano it would be $90.

How Qwen 3.8 Flash Compares to Other Budget Models

Model	Input $/M	Output $/M	Context	Tool Calling
Qwen 3.7 Flash	$0.03	$0.13	1M	❌
GPT-5 nano	$0.05	$0.40	128K	✅
GPT-oss 20B	$0.08	$0.35	128K	❌
GPT-4.1 nano	$0.10	$0.40	1M	✅
Qwen 3.8 Flash	$0.16	$0.47	1M	✅
DeepSeek V4 Flash	$0.22	$0.66	1M	✅
GPT-5.4 nano	$0.20	$1.25	1.05M	✅
Claude Haiku 4.5	$1.00	$5.00	200K	✅

Qwen 3.8 Flash is the cheapest model with tool calling support, undercutting GPT-5 nano ($0.05/$0.40) on output cost and DeepSeek V4 Flash ($0.22/$0.66) on both input and output.

When to Use Qwen 3.8 Flash

🤖 Agentic Workflows

Multi-step agents that call tools, APIs, or functions. Budget pricing keeps costs low for high-volume agent runs.

📋 Structured Extraction

Extract structured JSON from unstructured text — invoices, resumes, support tickets. JSON-schema outputs ensure valid data.

🔧 Function Calling

Map user intent to API calls, database queries, or internal tools. Reliable function calling at budget prices.

💬 Conversational Agents

Chatbots that need to call external services (weather, booking, search) during conversations.

🔄 Pipeline Orchestration

Coordinate multiple API calls in sequence. Tool calling enables complex multi-step pipelines at low cost.

📊 Data Processing

Transform, validate, and route data using structured outputs. Cheaper than GPT-5.4 nano for similar tasks.

When NOT to Use Qwen 3.8 Flash

Qwen 3.8 Flash is optimized for tool calling at budget prices, not for the most complex tasks. Consider alternatives when you need:

Complex reasoning: Multi-step logic, math, or nuanced code generation → use Claude Sonnet 5 ($2/$10) or GPT-5.4 ($2.50/$15)
Simple high-volume tasks: Classification, extraction without function calling → use Qwen 3.7 Flash ($0.03/$0.13) for 5x savings
Long-context agentic work: Need 200K+ context with tool calling → use GPT-5.4 nano ($0.20/$1.25, 1.05M context)
Strict accuracy: Medical, legal, or financial outputs → use premium models with human review

Qwen 3.7 Flash vs 3.8 Flash: Which Should You Use?

Feature	Qwen 3.7 Flash	Qwen 3.8 Flash
Input $/M	$0.03	$0.16
Output $/M	$0.13	$0.47
Context	1M	1M
Tool Calling	❌	✅
Structured Outputs	❌	✅
Vision	✅	Unknown
Provider	Alibaba Cloud / OpenRouter	OpenRouter

Use Qwen 3.7 Flash for simple, high-volume tasks that don't need function calling — classification, translation, content moderation, basic Q&A. It's 5x cheaper on input and 3.6x cheaper on output.

Use Qwen 3.8 Flash when you need tool calling, structured JSON outputs, or agentic workflows. The higher price is worth it for the reliability and flexibility of function calling.

Real-World Cost Scenario

Let's say you're building an AI assistant that makes 2 tool calls per conversation, processing 100,000 conversations/month (average 1,500 input tokens + 800 output tokens per conversation):

Model	Monthly Input	Monthly Output	Total
Qwen 3.8 Flash	$24	$37.60	$61.60
GPT-5 nano	$7.50	$32	$39.50
DeepSeek V4 Flash	$33	$52.80	$85.80
GPT-5.4 nano	$30	$100	$130
Claude Haiku 4.5	$150	$400	$550

Qwen 3.8 Flash is 1.6x cheaper than DeepSeek V4 Flash and 9x cheaper than Claude Haiku 4.5 for this agentic workload.

Frequently Asked Questions

How much does Qwen 3.8 Flash cost?

$0.16 per million input tokens and $0.47 per million output tokens via OpenRouter. This positions it between ultra-budget models (Qwen 3.7 Flash at $0.03/$0.13) and mid-tier models (Claude Haiku 4.5 at $1/$5).

What is the context window of Qwen 3.8 Flash?

1 million tokens — the same as Qwen 3.7 Flash. Large enough for document processing, code analysis, and multi-turn conversations.

Does Qwen 3.8 Flash support tool calling?

Yes — tool calling and JSON-schema structured outputs are the key differentiators from Qwen 3.7 Flash. If you need function calling on a budget, Qwen 3.8 Flash is the cheapest option available.

How is Qwen 3.8 Flash different from Qwen 3.7 Flash?

Qwen 3.8 Flash adds tool calling and structured outputs (which 3.7 Flash lacks), but costs 5x more on input ($0.16 vs $0.03). Use 3.7 Flash for simple high-volume tasks. Use 3.8 Flash when you need function calling or agentic workflows.

Where is Qwen 3.8 Flash available?

Available through OpenRouter (model ID: qwen/qwen38-flash). It is not available directly through OpenAI or Anthropic's APIs. The hosted Flash model is distinct from the open-weight experimental Qwen3.8-Flash-Next model.

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