Qwen3 30B A3B Thinking 2507 vs Qwen3.8 Flash
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
Qwen3-30B-A3B-Thinking-2507 is a 30B parameter Mixture-of-Experts reasoning model optimized for complex tasks requiring extended multi-step thinking.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 82 K tokens
- Max output
- 33 K
- Input, $ per 1M tokens
- $0.200
- Output, $ per 1M tokens
- $2.40
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 02/04/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3-30b-a3b-thinking-2507
Qwen3.8 Flash is a multimodal reasoning model from Alibaba.
- Reasoning estimated
- Speed estimated
- ▲
- Input
- Output
- Context
- ▲1 M tokens
- Max output
- ▲131 K
- Input, $ per 1M tokens
- ▲$0.150
- Output, $ per 1M tokens
- ▲$0.470
- Cache read, $ per 1M
- $0.016
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- ▲08/26/2026
- Knowledge cutoff
- —
- API id
- qwen/qwen3.8-flash
Which is the better API choice: Qwen3 30B A3B Thinking 2507 vs Qwen3.8 Flash?
- Qwen3.8 Flash: cheapest input (25% less than Qwen3 30B A3B Thinking 2507)
- Qwen3.8 Flash: cheapest output
- Qwen3.8 Flash: largest context (1 M)
- Qwen3.8 Flash: the newest (08/26/2026)
- Qwen3 30B A3B Thinking 2507: most reasoning (estimated)
- Qwen3.8 Flash: the fastest (estimated)
Qwen3.8 Flash costs 25% less on input and 80% less on output than Qwen3 30B A3B Thinking 2507 ($0.150 / $0.470 versus $0.200 / $2.40 per million tokens). Qwen3.8 Flash accepts more context (1 M). On capabilities, Qwen3.8 Flash accepts images.
What would your product cost?
Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.
With Qwen3.8 Flash you save $8.47 a month versus Qwen3 30B A3B Thinking 2507 (67% less).
The 6 cheapest for this scenario (chat, last 12 months)
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- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 6Qwen3.5-Flash Qwen$2.02
Paste your prompt: tokens and cost per model
Rough estimate (about 4 characters per token). Nothing is sent to any server.
Cost of sending it 1,000 times (input only)
- 1Qwen3.8 Flash Qwen$0.011
- 2Qwen3 30B A3B Thinking 2507 Qwen$0.015
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
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Frequently asked questions
Which is the better API choice: Qwen3 30B A3B Thinking 2507 vs Qwen3.8 Flash?
Qwen3.8 Flash costs 25% less on input and 80% less on output than Qwen3 30B A3B Thinking 2507 ($0.150 / $0.470 versus $0.200 / $2.40 per million tokens). Qwen3.8 Flash accepts more context (1 M). On capabilities, Qwen3.8 Flash accepts images.
Which is cheaper: Qwen3 30B A3B Thinking 2507 and Qwen3.8 Flash?
Qwen3.8 Flash is cheaper: $0.150 per million input tokens and $0.470 per million output tokens, versus $0.200 / $2.40 for Qwen3 30B A3B Thinking 2507.
Which has more context: Qwen3 30B A3B Thinking 2507 and Qwen3.8 Flash?
Qwen3.8 Flash accepts 1 M tokens of context; Qwen3 30B A3B Thinking 2507 accepts 82 K.
Which is newer: Qwen3 30B A3B Thinking 2507 and Qwen3.8 Flash?
Qwen3.8 Flash was released on 08/26/2026; Qwen3 30B A3B Thinking 2507 on 02/04/2026.
What would 10,000 requests a month cost with Qwen3 30B A3B Thinking 2507 and Qwen3.8 Flash?
With 1,500 input and 400 output tokens per request: Qwen3 30B A3B Thinking 2507: $12.60; Qwen3.8 Flash: $4.13 a month, at list price.
Where do the prices come from and how often are they updated?
From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.
What does price per million tokens mean?
It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.
Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.