ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Qwen3.7 Plus vs GPT-6 Luna

GPT-6 Luna comes out ahead, 84 to 68 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3.7 Plus

    Released Jun 2, 2026

    68/100
    • ECI147.4
    • Price$0.40 / $1.60
    • Context1M
    Full specs Remove Qwen3.7 Plus
  2. Our pick

    OpenAI

    GPT-6 Luna

    Released Sep 22, 2026

    84/100
    • ECI—
    • Price$0.10 / $0.50
    • Context1.05M
    Full specs Remove GPT-6 Luna

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT-6 Luna is our pick

GPT-6 Luna is the better all-round choice, scoring 84/100 against Qwen3.7 Plus (68). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025), because GPT-6 Luna has no Capabilities Index score yet.

  • CapabilityGPT-6 LunaShared benchmarks: GPT-6 Luna 89.4% · Qwen3.7 Plus 71.9%
  • Lowest priceGPT-6 LunaGPT-6 Luna $0.20 · Qwen3.7 Plus $0.70 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 LunaGPT-6 Luna 1,050,000 · Qwen3.7 Plus 1,000,000 tokens
  • Widest inputsSame inputsQwen3.7 Plus: Text, Images, Video · GPT-6 Luna: Text, Images, PDFs
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightQwen3.7 PlusGPT-6 Luna
CapabilityShared benchmarks50%7289
Price25%5783
Inputs & features15%8080
Context window10%6061
Overall100%68/10084/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Qwen3.7 Plus vs GPT-6 Luna specifications side by side
SpecificationQwen3.7 PlusAlibaba (Qwen)GPT-6 LunaOpenAI
Capability
Capabilities Index (ECI)147.4—
ECI rank#61 of 148—
GPQA DiamondGraduate-level science questions87.9%90.5% (best)
FrontierMath Tiers 1–3Research-level mathematics34.4%79.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics93.3%98.9% (best)
SimpleQA VerifiedShort factual questions—41.4%
Price per million tokens
Input$0.40$0.10 (best)
Output$1.60$0.50 (best)
Cached input$0.04$0.01 (best)
Blended (3:1)$0.70$0.20 (best)
Long-context rateOver 256K: $1.20 / $4.80Over 272K: $0.20 / $0.75
Price sourceOfficial Alibaba APIOfficial OpenAI API
Limits
Context window1,000,000 tokens1,050,000 tokens (best)
Max output64,000 tokens128,000 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoYesNo
ReasoningYesYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDqwen3.7-plusgpt-6-luna
API providers25 (best)24
ReleasedJun 2, 2026Sep 22, 2026
Knowledge cutoffApr 2025May 18, 2026
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Qwen3.7 Plus$7.20
  • GPT-6 Luna$2.00
04 — Questions

Which should you choose?

Which is better: Qwen3.7 Plus or GPT-6 Luna?

GPT-6 Luna is the better all-round choice, scoring 84/100 against Qwen3.7 Plus (68). It leads on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025), because GPT-6 Luna has no Capabilities Index score yet.

Which is cheaper, Qwen3.7 Plus or GPT-6 Luna?

GPT-6 Luna is cheaper at $0.10 input / $0.50 output per million tokens (official OpenAI API price). Qwen3.7 Plus costs $0.40 input / $1.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for GPT-6 Luna versus $0.70 for Qwen3.7 Plus (3.5× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3 and OTIS Mock AIME 2024–2025): GPT-6 Luna 89.4% and Qwen3.7 Plus 71.9%. On individual benchmarks: GPQA Diamond — GPT-6 Luna 90.5%, Qwen3.7 Plus 87.9%; FrontierMath Tiers 1–3 — GPT-6 Luna 79.0%, Qwen3.7 Plus 34.4%; OTIS Mock AIME 2024–2025 — GPT-6 Luna 98.9%, Qwen3.7 Plus 93.3%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.7 Plus and GPT-6 Luna yet, so there is no like-for-like coding score. On overall capability, GPT-6 Luna leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

GPT-6 Luna has the largest context window at 1,050,000 tokens, against 1,000,000 for Qwen3.7 Plus. Maximum output per response: Qwen3.7 Plus up to 64,000, GPT-6 Luna up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.7 Plus accepts text, images and video; GPT-6 Luna accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

No. Qwen3.7 Plus and GPT-6 Luna are proprietary and only available through APIs and apps.

Which is newer?

GPT-6 Luna is the newest, released Sep 22, 2026. Qwen3.7 Plus came out Jun 2, 2026. Knowledge cutoff: Qwen3.7 Plus Apr 2025, GPT-6 Luna May 18, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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