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Comparison · 2 models · Updated Oct 4, 2026

Qwen3.8 Flash Next vs GPT-6 Luna

GPT-6 Luna comes out ahead, 78 to 70 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3.8 Flash Next

    Released Aug 27, 2026

    70/100
    • ECI—
    • Price$0.20 / $0.50
    • Context262K
    Full specs Remove Qwen3.8 Flash Next
  2. Our pick

    OpenAI

    GPT-6 Luna

    Released Sep 22, 2026

    78/100
    • 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 78/100 against Qwen3.8 Flash Next (70). It leads on price and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceGPT-6 LunaGPT-6 Luna $0.20 · Qwen3.8 Flash Next $0.275 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 LunaGPT-6 Luna 1,050,000 · Qwen3.8 Flash Next 262,144 tokens
  • Widest inputsSame inputsQwen3.8 Flash Next: Text, Images, Video · GPT-6 Luna: Text, Images, PDFs
  • Self-hostingQwen3.8 Flash NextPublishes downloadable weights (qwen-community-1.0)
How the score is built
MeasureWeightQwen3.8 Flash NextGPT-6 Luna
Price50%7683
Inputs & features30%8080
Context window20%3761
Overall100%70/10078/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

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

Qwen3.8 Flash Next vs GPT-6 Luna specifications side by side
SpecificationQwen3.8 Flash NextAlibaba (Qwen)GPT-6 LunaOpenAI
Capability
Capabilities Index (ECI)——
ECI rank——
GPQA DiamondGraduate-level science questions—90.5%
FrontierMath Tiers 1–3Research-level mathematics—79.0%
OTIS Mock AIME 2024–2025Competition mathematics—98.9%
SimpleQA VerifiedShort factual questions—41.4%
Price per million tokens
Input$0.20$0.10 (best)
Output$0.50$0.50
Cached input—$0.01
Blended (3:1)$0.275$0.20 (best)
Long-context rateSame rateOver 272K: $0.20 / $0.75
Price sourceMedian of 5 providersOfficial OpenAI API
Limits
Context window262,144 tokens1,050,000 tokens (best)
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoYesNo
ReasoningYesYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenqwen-community-1.0Proprietary
API model ID—gpt-6-luna
API providers524 (best)
ReleasedAug 27, 2026Sep 22, 2026
Knowledge cutoff—May 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.

  • Qwen3.8 Flash Next$3.00
  • GPT-6 Luna$2.00
04 — Questions

Which should you choose?

Which is better: Qwen3.8 Flash Next or GPT-6 Luna?

GPT-6 Luna is the better all-round choice, scoring 78/100 against Qwen3.8 Flash Next (70). It leads on price and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Qwen3.8 Flash Next or GPT-6 Luna?

GPT-6 Luna is cheaper at $0.10 input / $0.50 output per million tokens (official OpenAI API price). Qwen3.8 Flash Next costs $0.20 input / $0.50 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.20 per million tokens for GPT-6 Luna versus $0.275 for Qwen3.8 Flash Next (1.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3.8 Flash Next has not been scored yet and GPT-6 Luna has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.8 Flash Next and GPT-6 Luna yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. 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 262,144 for Qwen3.8 Flash Next. Maximum output per response: Qwen3.8 Flash Next up to 131,072, GPT-6 Luna up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.8 Flash Next 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?

Qwen3.8 Flash Next publishes its weights (qwen-community-1.0) and can be self-hosted; GPT-6 Luna is proprietary.

Which is newer?

GPT-6 Luna is the newest, released Sep 22, 2026. Qwen3.8 Flash Next came out Aug 27, 2026. Knowledge cutoff: 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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