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Qwen3.7 Plus

API ID qwen3.7-plus

qwen3.7-plus is a Qwen model, released June 2026. It has a 1,000,000-token context window and up to 131,072 output tokens. It takes image input and supports function calling and structured outputs. Standard price: from $0.40 input and from $1.60 output per 1M tokens.

Status
Active
Released
June 2026
Shutdown
none announced
Replacement
—

Qwen announces retirement dates without naming the models on a page AIWire can read. AIWire posts each new notice on the wire and will flag qwen3.7-plus if it disappears from Qwen's model list.

Benchmarks

Scores as each source published them
or

Comparing with Qwen3.6 Plus, the previous model in this line. A score is compared only with the same benchmark from the same source, at the same setting where both have it. Full comparison: prices, limits, features

Arena

ArenaQwen3.7 PlusQwen3.6 PlusChangeRankDateSource
Text
By category
  • Math 1467 rank 57 vs 1454 (+13, within range)
  • Creative writing 1432 rank 72 vs 1407 (+25)
  • Instruction following 1447 rank 68 vs 1436 (+11, within range)
  • Hard prompts 1474 rank 81 vs 1467 (+7, within range)
  • Long prompts 1465 rank 69 vs 1454 (+11, within range)
  • Multi-turn 1464 rank 74 vs 1445 (+19)
  • Expert 1485 rank 67 vs 1475 (+10, within range)
1456 ±41443 ±4+1368 of 415
42,058 votes		Oct 13, 2026source
Text: Coding1500 ±61496 ±6+4
within range		79 of 410
12,188 votes		Oct 13, 2026source
Vision1264 ±7not rated42 of 165
13,636 votes		Oct 9, 2026source
Document1453 ±9not rated30 of 44
4,591 votes		Sep 13, 2026source
Agent-0.063 ±0.016not rated46 of 54
23,173 sessions		Oct 14, 2026source

Rated as qwen3.7-plus; Qwen3.6 Plus as qwen3.6-plus. Text, Vision and Document ratings come from people voting between two anonymous answers; Text, Vision and Document are style-controlled, as on arena.ai. Agent is Arena's separate score for real agent sessions, on its own scale. Not rated on WebDev, where Qwen3.6 Plus is. Data: Arena (arena.ai), CC BY 4.0.

Epoch AI

BenchmarkQwen3.7 PlusQwen3.6 PlusChangeSettingRunSource
FrontierMath Tiers 1-334.4%32.3%+2.1 ptsno reasoningAug 29, 2026source
GPQA Diamond
Other settings
  • 81.8% vs not run no reasoning
87.9%88.4%−0.5 ptsAug 7, 2026source
OTIS Mock AIME 2024-2025
Other settings
  • 80.0% vs not run no reasoning
93.3%93.3%0 ptsAug 7, 2026source

Run independently by Epoch AI. Data: Epoch AI, Capabilities & benchmarking (epoch.ai/benchmarks), CC BY.

Alias

All aliases

Currently points to qwen3.7-plus-2026-05-26 (in place when tracking began (October 6, 2026)).

Features

Compare models
FeatureValueSinceSource
Structured outputsThe model can be held to a JSON schema you supply, so every reply parses without retries or cleanup.Supportedin place when tracking began (October 6, 2026)source
Function callingAlso called tool use. You describe functions; the model replies with a function name and arguments for your code to run, then uses the result.Supportedin place when tracking began (October 6, 2026)source
Prompt cachingA prompt prefix you send again and again (system prompt, documents, tools) is cached, so later requests cost less and start faster.Supportedin place when tracking began (October 6, 2026)source
Batch APISend many requests as one job that runs in the background, usually finished within 24 hours, at a lower price than live requests.Supportedfirst seen October 10, 2026source
Image inputImages such as screenshots, photos and charts can go in the prompt for the model to read.Supportedin place when tracking began (October 6, 2026)source
Fine-tuningYou can train your own version of the model on your examples through the company's API, then call it like any other model.Not supportedin place when tracking began (October 6, 2026)source
Built-in web searchThe company's API can search the web for the model during a request and cite its sources; you don't need a search service of your own.Supportedin place when tracking began (October 6, 2026)source
Context windowThe most the model can work with in one request, in tokens: your prompt, conversation history and files. A token is about three-quarters of an English word.1,000,000 tokensin place when tracking began (October 6, 2026)source
Max output tokensThe longest reply the model can write in one response, in tokens. A token is about three-quarters of an English word.131,072 tokensin place when tracking began (October 6, 2026)source

Not published by Qwen: PDF input, Reasoning / thinking, temperature parameter, top_p parameter, logprobs.

Price history

USD per 1M tokens, standard tier
$0.00$0.50$1.00$1.50$2.00Oct 2026In $0.40Out $1.60Oct 5, 2026 to Oct 15, 2026: Input $0.40, Output $1.60
$0.00$0.50$1.00$1.50$2.00Oct 2026In $0.40Out $1.60Oct 5, 2026 to Oct 15, 2026: Input $0.40, Output $1.60

We started recording this model's prices on Oct 5, 2026. The history grows with each daily check.

Show as a table
FromTypePrice
Oct 5, 2026Input$0.40
Oct 5, 2026Output$1.60

Prices

USD per 1M tokens, every type and band, by tier
TypeBandPrice $/1MIn effect
Standard
inputup to 256k prompt$0.40
inputover 256k prompt$1.20
cached inputup to 256k prompt$0.08
cached inputover 256k prompt$0.24
cache writeup to 256k prompt$0.50
cache writeover 256k prompt$1.50
outputup to 256k prompt$1.60
outputover 256k prompt$4.80

Changelog

Changes we detected on Qwen's pages
  1. Feature changed

    qwen3.7-plus: Batch API not supported (supported in the Beijing region only) → supported

    Info

  2. Feature changed

    qwen3.7-plus: Batch API not supported → not supported (supported in the Beijing region only)

    Info

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Last checked · Sources: Qwen models, Qwen deprecations, Qwen free terms