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Comparison · 2 models · Updated Nov 2, 2026

GPT-6.1 Terra vs Gemini 4 Argon

Too close to call on our weighted score (GPT-6.1 Terra 76, Gemini 4 Argon 74). The right pick depends on what you value most.

  1. OpenAI

    GPT-6.1 Terra

    Released Oct 26, 2026New

    76/100
    • ECI168.1
    • Price$1.00 / $5.00
    • Context1.05M
    Full specs Remove GPT-6.1 Terra

  2. 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

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (GPT-6.1 Terra 76/100, Gemini 4 Argon 74/100), so choose by what matters most for your work: GPT-6.1 Terra for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-6.1 TerraCapabilities Index (ECI): GPT-6.1 Terra 168.1 · Gemini 4 Argon 166.1
  • Lowest priceGPT-6.1 TerraGPT-6.1 Terra $2.00 · Gemini 4 Argon $4.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-6.1 Terra 1,050,000 · Gemini 4 Argon 1,048,576 tokens
  • Widest inputsGemini 4 ArgonGPT-6.1 Terra: 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-6.1 TerraGemini 4 Argon
CapabilityCapabilities Index (ECI)50%9996
Price25%3420
Inputs & features15%80100
Context window10%6161
Overall100%76/10074/100
02 — Side by side

Every spec in one table

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

GPT-6.1 Terra vs Gemini 4 Argon specifications side by side
SpecificationGPT-6.1 TerraOpenAIGemini 4 ArgonGoogle
Capability
Capabilities Index (ECI)168.1 (best)166.1
ECI rank#3 of 165 (best)#7 of 165
GPQA DiamondGraduate-level science questions94.3%96.4% (best)
FrontierMath Tiers 1–3Research-level mathematics90.9% (best)86.0%
OTIS Mock AIME 2024–2025Competition mathematics100%100%
SimpleQA VerifiedShort factual questions57.3%76.0% (best)
Price per million tokens
Input$1.00 (best)$2.00
Output$5.00 (best)$10.00
Cached input$0.05 (best)$0.10
Blended (3:1)$2.00 (best)$4.00
Long-context rateOver 272K: $2.00 / $7.50Same 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-6.1-terragemini-4-argon
API providers2224 (best)
ReleasedOct 26, 2026Oct 13, 2026
Knowledge cutoffJun 1, 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-6.1 Terra$20.00
  • Gemini 4 Argon$40.00
04 — Questions

Which should you choose?

Which is better: GPT-6.1 Terra or Gemini 4 Argon?

It is close. Our weighted score puts them within 2 points (GPT-6.1 Terra 76/100, Gemini 4 Argon 74/100), so choose by what matters most for your work: GPT-6.1 Terra for raw capability. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-6.1 Terra or Gemini 4 Argon?

GPT-6.1 Terra is cheaper at $1.00 input / $5.00 output per million tokens (official OpenAI API price). Gemini 4 Argon costs $2.00 input / $10.00 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for GPT-6.1 Terra versus $4.00 for Gemini 4 Argon (2× as much).

Which scores higher on benchmarks?

GPT-6.1 Terra scores higher on the Capabilities Index (ECI): GPT-6.1 Terra 168.1 (#3 of 165) and Gemini 4 Argon 166.1 (#7 of 165). The confidence ranges of the top two overlap (164.9–172.9 vs 163.1–170.3), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 4 Argon 96.4%, GPT-6.1 Terra 94.3%; FrontierMath Tiers 1–3 — GPT-6.1 Terra 90.9%, Gemini 4 Argon 86.0%; OTIS Mock AIME 2024–2025 — GPT-6.1 Terra 100%, Gemini 4 Argon 100%; SimpleQA Verified — Gemini 4 Argon 76.0%, GPT-6.1 Terra 57.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-6.1 Terra and Gemini 4 Argon yet, so there is no like-for-like coding score. On overall capability, GPT-6.1 Terra 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-6.1 Terra 1,050,000 and Gemini 4 Argon 1,048,576 tokens. Maximum output per response: GPT-6.1 Terra up to 128,000, Gemini 4 Argon up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-6.1 Terra 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-6.1 Terra and Gemini 4 Argon are proprietary and only available through APIs and apps.

Which is newer?

GPT-6.1 Terra is the newest, released Oct 26, 2026. Gemini 4 Argon came out Oct 13, 2026. Knowledge cutoff: GPT-6.1 Terra Jun 1, 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

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