GPT-6.1 Sol vs Qwen 3.7 Plus

OpenAI · US  |  Alibaba · China · Updated June 2026

Quick verdict

Pick GPT-6.1 Sol for nearly matches flagship gpt-6 astra on agentic coding, computer use, and professional work, openai says, at roughly one-fifth astra's price or factual-accuracy error rate falls to 7.7% at low reasoning effort, down from gpt-6 sol's 11.4%. Pick Qwen 3.7 Plus for reading screens and interacting with guis or generating code from visual references. On a tight budget at scale, Qwen 3.7 Plus is the value pick.

GPT-6.1 Sol (OpenAI, US) and Qwen 3.7 Plus (Alibaba, China) line up two different AI ecosystems against each other — a comparison that is as much about cost philosophy and openness as raw capability. GPT-6.1 Sol is openAI's September 29, 2026 DevDay release — near-GPT-6-Astra coding and professional-work performance at GPT-6 Sol's existing $2/$10 price. Qwen 3.7 Plus is alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end. They diverge most on price and context window — each quantified below from the models' real specs.

Key differences at a glance

Side-by-side specs

SpecGPT-6.1 SolQwen 3.7 Plus
ProviderOpenAI (US) Alibaba (China)
ReleasedSeptember 29, 2026 June 1, 2026
Context window1.05M tokens (~1,575 pages) 1M (~1,500 pages)
Price (in/out)$2/$10 per 1M tokens $0.4/$1.6 per 1M tokens
Open weight?No — API only No — API only
Modalitiestext, image text, image, video, code
SWE-Bench VerifiedNot published Not published
MRCR v2 @ 1MNot published Not published

Who wins what

Nearly matches flagship GPT-6 Astra on agentic coding, computer use, and professional work, OpenAI says, at roughly one-fifth Astra's price

GPT-6.1 Sol

OpenAI's September 29, 2026 DevDay release — near-GPT-6-Astra coding and professional-work performance at GPT-6 Sol's existing $2/$10 price — and it is the newer of the two.

Factual-accuracy error rate falls to 7.7% at low reasoning effort, down from GPT-6 Sol's 11.4%

GPT-6.1 Sol

GPT-6.1 Sol lists factual-accuracy error rate falls to 7.7% at low reasoning effort, down from GPT-6 Sol's 11.4% among its strengths; Qwen 3.7 Plus does not.

Cached input priced at $0.10/MTok — 95% below standard input, and 50% cheaper than GPT-6 Sol's cache rate

GPT-6.1 Sol

GPT-6.1 Sol lists cached input priced at $0.10/MTok — 95% below standard input, and 50% cheaper than GPT-6 Sol's cache rate among its strengths; Qwen 3.7 Plus does not.

Reading screens and interacting with GUIs

Qwen 3.7 Plus

Alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end — and it runs cheaper at $0.4/$1.6 per 1M tokens.

Generating code from visual references

Qwen 3.7 Plus

Qwen 3.7 Plus lists generating code from visual references among its strengths; GPT-6.1 Sol does not.

Agentic tool use, verification, and autonomous iteration

Qwen 3.7 Plus

Qwen 3.7 Plus lists agentic tool use, verification, and autonomous iteration among its strengths; GPT-6.1 Sol does not.

Lowest cost at scale

Qwen 3.7 Plus

At $0.4/$1.6 per 1M tokens, it is the cheaper of the two — the gap dominates the bill on high-volume workloads.

Which should you pick?

A cost-sensitive startup shipping high volume

→ Qwen 3.7 Plus

At $0.4/$1.6 per 1M tokens it undercuts GPT-6.1 Sol, and on millions of tokens that margin decides the monthly bill.

Someone analysing very long documents or codebases

→ GPT-6.1 Sol

Larger 1.05M tokens window fits more in one prompt.

Anyone whose priority is nearly matches flagship gpt-6 astra on agentic coding, computer use, and professional work, openai says, at roughly one-fifth astra's price

→ GPT-6.1 Sol

It is specifically built for that.

Anyone whose priority is reading screens and interacting with guis

→ Qwen 3.7 Plus

That is its strongest area.

An enterprise with regional data-residency rules

→ GPT-6.1 Sol or Qwen 3.7 Plus

Origin (US vs China) affects where data is processed and which compliance regime applies — check the provider's terms for your region.

GPT-6.1 Sol: where it fits

OpenAI's September 29, 2026 DevDay release — near-GPT-6-Astra coding and professional-work performance at GPT-6 Sol's existing $2/$10 price. Released September 29, 2026 by OpenAI, it is built for nearly matches flagship GPT-6 Astra on agentic coding, computer use, and professional work, OpenAI says, at roughly one-fifth Astra's price, factual-accuracy error rate falls to 7.7% at low reasoning effort, down from GPT-6 Sol's 11.4%, cached input priced at $0.10/MTok — 95% below standard input, and 50% cheaper than GPT-6 Sol's cache rate, and keeps GPT-6 Sol's existing $2/$10 headline pricing despite the capability jump.

Its trade-offs are real: launched in place of a hoped-for GPT-6.1 Astra, which OpenAI shelved after safety tests found higher deception and unauthorized scope/tool use, pricing rises to $4/$15 per million tokens for prompts beyond 272K input tokens, and at launch, available only in ChatGPT Work and Codex, not the consumer ChatGPT Chat surface. At $2 in / $10 out per million tokens, it sits in the mid price band.

Qwen 3.7 Plus: where it fits

Alibaba's cost-effective multimodal agent in the Qwen3.7 series, built to perceive scenes, read screens and GUIs, generate code from visual references, and navigate mobile apps end-to-end. Released June 1, 2026 by Alibaba, it is built for reading screens and interacting with GUIs, generating code from visual references, agentic tool use, verification, and autonomous iteration, and cost-effective vision-language processing at 1M context.

Its trade-offs: proprietary and API-only, with no downloadable weights, and outputs text only, no image, audio, or video generation. At $0.4 in / $1.6 out per million tokens, it sits in the budget price band.

The bottom line for this matchup

This is less "which is smarter" and more "which ecosystem fits." GPT-6.1 Sol (US) and Qwen 3.7 Plus (China) differ on pricing philosophy, data-residency, and tooling as much as on raw scores. Qwen 3.7 Plus is the cheaper option, which matters at volume. The pragmatic move is to run one real task through both and judge the outputs against your own constraints — including where your data is allowed to be processed.

Want both GPT-6.1 Sol and Qwen 3.7 Plus without two subscriptions? LumiChats gives you these plus 40+ models under one ₹69/day pass (about $1/day) — draft with one, cross-check with the other.

See pricing

Frequently asked questions

Is GPT-6.1 Sol or Qwen 3.7 Plus better for coding?

Public SWE-Bench figures are not available for either model, so the honest test is your own repository — run an identical real bug through both. By design, GPT-6.1 Sol leans toward nearly matches flagship gpt-6 astra on agentic coding, computer use, and professional work, openai says, at roughly one-fifth astra's price while Qwen 3.7 Plus leans toward reading screens and interacting with guis, and that positioning usually predicts which feels better on your codebase.

Which is cheaper, GPT-6.1 Sol or Qwen 3.7 Plus?

Qwen 3.7 Plus is cheaper — $2/$10 per 1M tokens vs $0.4/$1.6 per 1M tokens, roughly 5× apart on input.

Which has the bigger context window?

Effectively neither — 1.05M tokens vs 1M is a difference of a few percent. Remember advertised ≠ usable: recall typically degrades before the ceiling.

Can I use both GPT-6.1 Sol and Qwen 3.7 Plus together?

Yes — a multi-model platform like LumiChats gives you GPT-6.1 Sol, Qwen 3.7 Plus and 40+ others under one ₹69/day pass (about $1/day), so you can draft with one and cross-check with the other instead of buying two subscriptions.

Which is newer, GPT-6.1 Sol or Qwen 3.7 Plus?

GPT-6.1 Sol — released September 29, 2026, about 4 months after Qwen 3.7 Plus.

Related comparisons

Specifications and benchmarks reflect publicly reported figures as of June 2026 and may change as providers release updates. Always verify on your own workload.