ZMIME
Comparison · 2 models · Updated Nov 2, 2026

GPT-6 Astra vs Gemini 4 Argon

Gemini 4 Argon comes out ahead, 74 to 68 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-6 Astra

    Released Sep 4, 2026New

    68/100
    • ECI169.1
    • Price$10.00 / $50.00
    • Context1.05M
    Full specs Remove GPT-6 Astra
  2. Our pick

    Google

    Gemini 4 Argon

    Released Oct 13, 2026New

    74/100
    • ECI166.1
    • Price$2.00 / $10.00
    • Context1.05M
    Full specs Remove Gemini 4 Argon

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Gemini 4 Argon is our pick

Gemini 4 Argon is the better all-round choice, scoring 74/100 against GPT-6 Astra (68). It leads on price and inputs & features. GPT-6 Astra wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-6 AstraCapabilities Index (ECI): GPT-6 Astra 169.1 · Gemini 4 Argon 166.1
  • Lowest priceGemini 4 ArgonGemini 4 Argon $4.00 · GPT-6 Astra $20.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-6 Astra 1,050,000 · Gemini 4 Argon 1,048,576 tokens
  • Widest inputsGemini 4 ArgonGPT-6 Astra: Text, Images, PDFs · Gemini 4 Argon: Text, Images, PDFs, Audio, Video
  • Self-hostingNo open weightsBoth are available only through APIs
How the score is built
MeasureWeightGPT-6 AstraGemini 4 Argon
CapabilityCapabilities Index (ECI)50%10096
Price25%020
Inputs & features15%80100
Context window10%6161
Overall100%68/10074/100
02 — Side by side

Every spec in one table

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

GPT-6 Astra vs Gemini 4 Argon specifications side by side
SpecificationGPT-6 AstraOpenAIGemini 4 ArgonGoogle
Capability
Capabilities Index (ECI)169.1 (best)166.1
ECI rank#1 of 165 (best)#7 of 165
GPQA DiamondGraduate-level science questions95.8%96.4% (best)
FrontierMath Tiers 1–3Research-level mathematics93.7% (best)86.0%
OTIS Mock AIME 2024–2025Competition mathematics100%100%
SimpleQA VerifiedShort factual questions75.6%76.0% (best)
Price per million tokens
Input$10.00$2.00 (best)
Output$50.00$10.00 (best)
Cached input$1.00$0.10 (best)
Blended (3:1)$20.00$4.00 (best)
Long-context rateOver 272K: $20.00 / $75.00Same rate
Price sourceOfficial OpenAI APIOfficial Google API
Limits
Context window1,050,000 tokens (best)1,048,576 tokens
Max output128,000 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsYesYes
AudioNoYes
VideoNoYes
ReasoningYeslow · medium · high · xhigh · maxYeslow · medium · high
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryProprietary
API model IDgpt-6-astragemini-4-argon
API providers37 (best)24
ReleasedSep 4, 2026Oct 13, 2026
Knowledge cutoffApr 30, 2026Mar 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.

  • GPT-6 Astra$200.00
  • Gemini 4 Argon$40.00
04 — Questions

Which should you choose?

Which is better: GPT-6 Astra or Gemini 4 Argon?

Gemini 4 Argon is the better all-round choice, scoring 74/100 against GPT-6 Astra (68). It leads on price and inputs & features. GPT-6 Astra wins on capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-6 Astra or Gemini 4 Argon?

Gemini 4 Argon is cheaper at $2.00 input / $10.00 output per million tokens (official Google 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 $4.00 per million tokens for Gemini 4 Argon versus $20.00 for GPT-6 Astra (5× as much).

Which scores higher on benchmarks?

GPT-6 Astra scores higher on the Capabilities Index (ECI): GPT-6 Astra 169.1 (#1 of 165) and Gemini 4 Argon 166.1 (#7 of 165). The confidence ranges of the top two overlap (165.9–174.3 vs 163.1–170.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 4 Argon 96.4%, GPT-6 Astra 95.8%; FrontierMath Tiers 1–3 — GPT-6 Astra 93.7%, Gemini 4 Argon 86.0%; OTIS Mock AIME 2024–2025 — GPT-6 Astra 100%, Gemini 4 Argon 100%; SimpleQA Verified — Gemini 4 Argon 76.0%, GPT-6 Astra 75.6%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6 Astra and Gemini 4 Argon 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. Both support tool calling for agent workflows.

Which has the bigger context window?

Their context windows are effectively the same size: GPT-6 Astra 1,050,000 and Gemini 4 Argon 1,048,576 tokens. Maximum output per response: GPT-6 Astra up to 128,000, Gemini 4 Argon up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-6 Astra accepts text, images and PDFs; Gemini 4 Argon accepts text, images, PDFs, audio and video. Gemini 4 Argon handles the widest range of inputs.

Are any of these open source?

No. GPT-6 Astra and Gemini 4 Argon are proprietary and only available through APIs and apps.

Which is newer?

Gemini 4 Argon is the newest, released Oct 13, 2026. GPT-6 Astra came out Sep 4, 2026. Knowledge cutoff: GPT-6 Astra Apr 30, 2026, Gemini 4 Argon Mar 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 Nov 2, 2026.

05 — Keep comparing

Related comparisons