Qwen/Qwen3-Max-Thinking pricing
The latest flagship reasoning model in the Qwen3 family. Further enhanced by multiple innovations like adaptive tool-use and advanced test-time scaling techniques Qwen/Qwen3-Max-Thinking from DeepInfra costs $1.20 per 1M input tokens and $6.00 per 1M output tokens. Cached input is $0.240 per 1M. Context window 256,000 tokens.
API id Qwen/Qwen3-Max-Thinking · DeepInfra · source · updated 2026-09-25 · general-purpose
$1.20
Input / 1M tokens
$6.00
Output / 1M tokens
$0.240
Cached input / 1M
256K
Context window
Qwen/Qwen3-Max-Thinking specifications
- Provider
- DeepInfra
- API id
Qwen/Qwen3-Max-Thinking- Model type
- general-purpose
- Context window
- 256K tokens
- Max output
- not published
- Currency
- USD
- Price source
- Provider API
- Last checked
- 2026-09-25
Tags
- flagship
- reasoning
Qwen3 Max Thinking across providers
The same model, priced by every seller we track. Ranked by the cost of 1M input + 1M output tokens, standard tier; savings measured against buying from the vendor directly.
| Provider | Input /1M | Cached /1M | Output /1M | 1M in + 1M out | vs vendor |
|---|---|---|---|---|---|
| $0.780 | — | $3.90 | $4.68 | — | |
OpenRouterHost | $0.780 | — | $3.90 | $4.68 | — |
| $1.20 | $0.240 | $6.00 | $7.20 | +54% |
What Qwen/Qwen3-Max-Thinking costs in practice
| Workload | Input tokens | Output tokens | Estimated cost |
|---|---|---|---|
| Short chat turn | 1,000 | 500 | $0.0042 |
| Document summary | 50,000 | 2,000 | $0.07 |
| 1M tokens in, 200K out | 1,000,000 | 200,000 | $2.40 |
Estimates use the standard tier and ignore caching discounts, so real bills with repeated prompt prefixes are typically lower.
Common questions
- How much does Qwen/Qwen3-Max-Thinking cost per 1M tokens?
- Qwen/Qwen3-Max-Thinking costs $1.20 per 1M input tokens and $6.00 per 1M output tokens on the standard tier. Cached input is $0.240 per 1M.
- What is Qwen/Qwen3-Max-Thinking's context window?
- Qwen/Qwen3-Max-Thinking accepts up to 256,000 tokens in a single request.
- Is there a cheaper DeepInfra model than Qwen/Qwen3-Max-Thinking?
- Yes. deepseek-ai/DeepSeek-V4-Flash is $0.090 per 1M input tokens versus $1.20 for Qwen/Qwen3-Max-Thinking, with a 1,048,576 token context window.
- Where does this Qwen/Qwen3-Max-Thinking price come from?
- From the OpenRouter catalogue, because DeepInfra does not publish machine-readable pricing. OpenRouter is a reseller, so its rate can differ from DeepInfra's own — verify before committing spend.
Head-to-head comparisons
Other DeepInfra models
- XiaomiMiMo/MiMo-V2.6-Flash $0.140
- anthropic/claude-fable-5 $10.00
- Qwen/Qwen3-VL-235B-A22B-Instruct $0.200
- Qwen/Qwen3-14B $0.120
- ByteDance/Seed-2.0-mini $0.100
- deepseek-ai/DeepSeek-V4-Flash-0731 $0.060
- zai-org/GLM-5.3-Flash $0.150
- anthropic/claude-opus-5-5 $4.00
- meta-llama/Llama-4-Scout-17B-16E-Instruct $0.100
- ibm-granite/granite-4.2-8b $0.060
- Qwen/Qwen3-30B-A3B $0.120
- openai/gpt-oss-120b-Ultra $0.200
- ByteDance/Seed-2.0-pro $0.500
- thinkingmachines/Inkling $0.950
- zai-org/GLM-4.6 $0.500
- meta-llama/Llama-Guard-4-12B $0.180