As of August 20, 2026, Qwen3.7-Plus API pricing is $0.32 per million input tokens and $1.28 per million output tokens. A typical 100K-in / 20K-out request costs $0.06. Source: https://www.alibabacloud.com/help/en/model-studio/pricing
Source: Qwen pricing (https://www.alibabacloud.com/help/en/model-studio/pricing)
Input $/M
$0.32
Output $/M
$1.28
Blended / 1M
$1.60
100K / 20K request
$0.06
| Context Window | 1M |
|---|---|
| Max Output | 65.5K tokens |
| Release Date | 2026-05-31 |
| Knowledge Cutoff | N/A |
| License | Proprietary |
| Throughput | N/A |
| HLE | 34.7% |
|---|---|
| GPQA | 90.3% |
| GPQA Diamond | 87.9% |
| SWE-bench Verified | 77.7% |
| LiveCodeBench v6 | 89.6% |
| SciCode | 51.3% |
| Vibe Code Bench | 46.4% |
| IFEval | 94.6% |
| IFBench | 79.1% |
| FinanceAgent v2 | 38.2% |
| ScreenSpot Pro | 79% |
| SWE-bench Multilingual | 75.8% |
| Terminal-Bench 2.0 | 70.3% |
| Terminal-Bench 2.1 | 52.8% |
| OSWorld Verified | 73.3% |
| MCP Atlas | 73.2% |
| MMMU-Pro | 79% |
| MMMLU | 89% |
| CharXiv-R | 85.9% |
| AIME 2025 | 93.3% |
| Androidworld | 81% |
| Apex | 22.7% |
| Arena Vision Elo | 1262 |
| Babyvision | 70.4% |
| Bc Vl | 51.1% |
| Bfcl V4 | 72.9% |
| Claw Eval | 62.7% |
| Claw Eval Mm | 55.7% |
| Code Migration | 12.9% |
| Countqa | 77% |
| Coworkbench | 65.1% |
| CritPt | 6% |
| CyberBench | 37.5% |
| Deep Planning | 62.3% |
| EMB | 49.3% |
| ERQA | 69.8% |
| FrontierCode | 10.2% |
| FrontierCode 1.1 | 10.2% |
| Global Piqa | 90.3% |
| Hipho | 84.1% |
| Hmmt Feb 26 | 92.9% |
| Imo Answerbench | 86% |
| INCLUDE | 83% |
| Lingoqa | 83.4% |
| LVBench | 76.2% |
| MathVision | 90.3% |
| Maxife | 88.8% |
| Mcp Mark | 58.7% |
| Medxpertqa Mm | 71% |
| Mlvu | 87.4% |
| Mmbc | 46.3% |
| MMLU-Pro | 88.5% |
| Mmlu Prox | 85.4% |
| MMLU-Redux | 94.5% |
| Mmsearch Plus | 41.4% |
| MRCR v2 | 91.7% |
| Nl2repo | 41.1% |
| Nova 63 | 58.8% |
| Ocrbench V2 | 67.1% |
| Odinw | 51.1% |
| Omnidocbench 1 5 | 91.4% |
| OSWorld 2.0 | 2.8% |
| Polymath | 84% |
| Qwenclawbench | 61.8% |
| Qwenworldbench | 62.1% |
| Realworldqa | 86.9% |
| SAGE | 39.3% |
| Simplevqa | 81.7% |
| SkillsBench | 54.9% |
| Spreadsheetbench V1 | 86.3% |
| SuperGPQA | 71.4% |
| Surds | 77.2% |
| SWE-bench Pro | 57.6% |
| Terminal-Bench 2 | 70.3% |
| Tvbench | 78.2% |
| Video Mme | 88% |
| VideoMMMU | 85.4% |
| Visfactor | 42.8% |
| Vita Bench | 45.6% |
| Vladbench | 77.2% |
| Wmt24 | 84.6% |
| Worldvqa | 61.1% |
Same search as the hub. Pick any model, or jump into a priced matchup.
Qwen
OpenAI
Anthropic
Google
xAI
DeepSeek
MiniMax
As of August 20, 2026, Qwen3.7-Plus Qwen API pricing is $0.32 per million input tokens and $1.28 per million output tokens. Input tokens are the prompt you send; output tokens are the completion. Long answers therefore cost more than short ones even when the prompt stays the same. Source: https://www.alibabacloud.com/help/en/model-studio/pricing
On this page the blended Qwen3.7-Plus API cost is $1.60 for 1 million input tokens plus 1 million output tokens. That 1:1 mix is the comparison scale used across the LLM pricing table. A 3:1 mix (three million input tokens per one million output tokens), which some calculators use, would be about $2.24.
A typical Qwen3.7-Plus API request with 100K input tokens and 20K output tokens costs about $0.06 at current rates as of August 20, 2026. Multiply that by daily or monthly volume to estimate spend. Caching, batch APIs, and volume discounts from Qwen can bring the real invoice lower than the public list rate at https://www.alibabacloud.com/help/en/model-studio/pricing.
Qwen3.7-Plus supports a 1M token context window and can generate up to 66K output tokens per request. The context window is the total prompt plus conversation history the model can see in one call. Larger windows cost more when you fill them, because every input token is billed per million tokens.
No. Qwen3.7-Plus is a proprietary model by Qwen. The only public way to call it is Qwen's API, billed per million input and output tokens. There is no self-host option for the weights.
Qwen3.7-Plus currently reports HLE 34.7%, GPQA 90.3%, GPQA Diamond 87.9%. See the performance table for the full eval set. Use those scores with the token prices above when you are choosing between a cheaper LLM and a frontier model. GPQA, SWE-bench, and HLE are the evals people usually compare first.
Qwen3.7-Plus scores 77.7% on SWE-bench Verified. Pair that score with Qwen API pricing on this page: a slightly worse SWE-bench model can still win if it is much cheaper per million tokens. Open the SWE-bench or coding leaderboard from the sidebar for the full ranking, then jump into an LLM comparison against a coding specialist.
Use the Compare picker on this page to start an LLM comparison. Search by model or provider, pick a second model, and AnotherWrapper opens a dedicated Qwen3.7-Plus vs page with per-million-token prices, blended 1M-in / 1M-out cost, context window, throughput, and benchmarks. You can also open any model from the sidebar, or go back to the LLM pricing table to sort the full index.
The cheapest LLM alternative depends on whether you optimize for blended token cost, coding evals, or context window. Start with the popular matchups on this page, then sort the LLM pricing table by blended cost to see which hosted APIs undercut Qwen3.7-Plus. Open-weight models can be cheaper still if you self-host, but that is not the same as Qwen API pricing on this page.
Qwen3.7-Plus is called through Qwen's API with an API key. Bill against input and output tokens separately; cache or shorten prompts if spend is high. If you are shipping a full product, AnotherWrapper includes pre-built API routes and templates for Qwen and 5+ other providers with auth, payments, and deployment already configured.
This Qwen3.7-Plus page tracks the latest published Qwen API pricing from Qwen, quoted per million tokens. List rates can differ from invoices because of prompt caching, batch discounts, committed-use tiers, and private contracts. Official rate sheet: https://www.alibabacloud.com/help/en/model-studio/pricing. Benchmark scores come from official publications and independent evals, not from a private lab run by AnotherWrapper.
Qwen3.7-Plus is a proprietary model from Qwen. Current API pricing is $0.32 per million input tokens and $1.28 per million output tokens, with a 1M token context window. A blended 1M-in / 1M-out workload costs $1.60.
Rank it on the LLM leaderboard, SWE-bench, and Humanity's Last Exam.
The index
281 models across 33 providers. Search or jump to a lab — every model page stays linked here.
Next step
Auth, billing, and the API layer are already decided. Fork 8 finished AI apps, or have us build the first version with you.
