ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3.8 Max vs GPT-6 Astra vs Grok 4.6

Too close to call on our weighted score (Qwen3.8 Max 69, GPT-6 Astra 68, Grok 4.6 65). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3.8 Max

    Released Aug 3, 2026

    69/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context1M
  2. OpenAI

    GPT-6 Astra

    Released Sep 4, 2026

    68/100
    • ECI166.5
    • Price$10.00 / $50.00
    • Context1.05M
  3. xAI

    Grok 4.6

    Released Aug 12, 2026

    65/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context500K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Qwen3.8 Max 69/100, GPT-6 Astra 68/100, Grok 4.6 65/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Qwen3.8 Max on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-6 AstraCapabilities Index (ECI): GPT-6 Astra 166.5 · Grok 4.6 156.6 · Qwen3.8 Max 156.6
  • Lowest priceQwen3.8 Max and Grok 4.6Qwen3.8 Max $3.00 · Grok 4.6 $3.00 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-6 AstraGPT-6 Astra 1,050,000 · Qwen3.8 Max 1,000,000 · Grok 4.6 500,000 tokens
  • Widest inputsQwen3.8 MaxQwen3.8 Max: Text, Images, PDFs, Video · GPT-6 Astra: Text, Images, PDFs · Grok 4.6: Text, Images
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightQwen3.8 MaxGPT-6 AstraGrok 4.6
CapabilityCapabilities Index (ECI)50%869986
Price25%27027
Inputs & features15%908070
Context window10%606148
Overall100%69/10068/10065/100
02 — Side by side

Every spec in one table

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

Qwen3.8 Max vs GPT-6 Astra vs Grok 4.6 specifications side by side
SpecificationQwen3.8 MaxAlibaba (Qwen)GPT-6 AstraOpenAIGrok 4.6xAI
Capability
Capabilities Index (ECI)156.6166.5 (best)156.6
ECI rank#20 of 148#2 of 148 (best)#19 of 148
GPQA DiamondGraduate-level science questions92.7%95.8% (best)94.0%
FrontierMath Tiers 1–3Research-level mathematics74.7%93.7% (best)66.0%
OTIS Mock AIME 2024–2025Competition mathematics99.4%100% (best)99.2%
SimpleQA VerifiedShort factual questions45.8%75.6% (best)49.3%
Price per million tokens
Input$2.00 (best)$10.00$2.00 (best)
Output$6.00 (best)$50.00$6.00 (best)
Cached input$0.25 (best)$1.00$0.50
Blended (3:1)$3.00 (best)$20.00$3.00 (best)
Long-context rateSame rateOver 272K: $20.00 / $75.00Over 200K: $4.00 / $12.00
Price sourceOfficial Alibaba APIOfficial OpenAI APIOfficial xAI API
Limits
Context window1,000,000 tokens1,050,000 tokens (best)500,000 tokens
Max output131,072 tokens128,000 tokens500,000 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesNo
AudioNoNoNo
VideoYesNoNo
ReasoningYeslow · medium · xhighYeslow · medium · high · xhigh · maxYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDqwen3.8-maxgpt-6-astragrok-4.6
API providers252629 (best)
ReleasedAug 3, 2026Sep 4, 2026Aug 12, 2026
Knowledge cutoff—Apr 30, 2026Feb 1, 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 Max$32.00
  • GPT-6 Astra$200.00
  • Grok 4.6$32.00
04 — Questions

Which should you choose?

Which is better: Qwen3.8 Max, GPT-6 Astra or Grok 4.6?

It is close. Our weighted score puts them within 2 points (Qwen3.8 Max 69/100, GPT-6 Astra 68/100, Grok 4.6 65/100), so choose by what matters most for your work: GPT-6 Astra for raw capability and Qwen3.8 Max on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3.8 Max, GPT-6 Astra or Grok 4.6?

Qwen3.8 Max is cheaper at $2.00 input / $6.00 output per million tokens (official Alibaba API price). Grok 4.6 costs $2.00 input / $6.00 output per million tokens (official xAI API price); GPT-6 Astra costs $10.00 input / $50.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Qwen3.8 Max versus $3.00 for Grok 4.6 (1× as much) and $20.00 for GPT-6 Astra (6.7× as much).

Which scores higher on benchmarks?

GPT-6 Astra scores higher on the Capabilities Index (ECI): GPT-6 Astra 166.5 (#2 of 148), Grok 4.6 156.6 (#19 of 148) and Qwen3.8 Max 156.6 (#20 of 148). Their confidence ranges do not overlap (163.1–171.1 vs 154.7–158.9), so the gap is a real one. On individual benchmarks: GPQA Diamond — GPT-6 Astra 95.8%, Grok 4.6 94.0%, Qwen3.8 Max 92.7%; FrontierMath Tiers 1–3 — GPT-6 Astra 93.7%, Qwen3.8 Max 74.7%, Grok 4.6 66.0%; OTIS Mock AIME 2024–2025 — GPT-6 Astra 100%, Qwen3.8 Max 99.4%, Grok 4.6 99.2%; SimpleQA Verified — GPT-6 Astra 75.6%, Grok 4.6 49.3%, Qwen3.8 Max 45.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.8 Max, GPT-6 Astra and Grok 4.6 yet, so there is no like-for-like coding score. On overall capability, GPT-6 Astra leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

GPT-6 Astra has the largest context window at 1,050,000 tokens, against 1,000,000 for Qwen3.8 Max and 500,000 for Grok 4.6. Maximum output per response: Qwen3.8 Max up to 131,072, GPT-6 Astra up to 128,000, Grok 4.6 up to 500,000 tokens.

Which can read images, PDFs, audio or video?

Qwen3.8 Max accepts text, images, PDFs and video; GPT-6 Astra accepts text, images and PDFs; Grok 4.6 accepts text and images. Qwen3.8 Max handles the widest range of inputs.

Are any of these open source?

No. Qwen3.8 Max, GPT-6 Astra and Grok 4.6 are proprietary and only available through APIs and apps.

Which is newer?

GPT-6 Astra is the newest, released Sep 4, 2026. Grok 4.6 came out Aug 12, 2026; Qwen3.8 Max came out Aug 3, 2026. Knowledge cutoff: GPT-6 Astra Apr 30, 2026, Grok 4.6 Feb 1, 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.