ZMIME
Comparison · 2 models · Updated Nov 2, 2026

GPT-5.6 Sol vs Gemini 4 Argon

Gemini 4 Argon comes out ahead, 74 to 66 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    66/100
    • ECI162.6
    • Price$4.00 / $20.00
    • Context1.05M
    Full specs Remove GPT-5.6 Sol
  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-5.6 Sol (66). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 4 ArgonCapabilities Index (ECI): Gemini 4 Argon 166.1 · GPT-5.6 Sol 162.6
  • Lowest priceGemini 4 ArgonGemini 4 Argon $4.00 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-5.6 Sol 1,050,000 · Gemini 4 Argon 1,048,576 tokens
  • Widest inputsGemini 4 ArgonGPT-5.6 Sol: 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-5.6 SolGemini 4 Argon
CapabilityCapabilities Index (ECI)50%9296
Price25%720
Inputs & features15%80100
Context window10%6161
Overall100%66/10074/100
02 — Side by side

Every spec in one table

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

GPT-5.6 Sol vs Gemini 4 Argon specifications side by side
SpecificationGPT-5.6 SolOpenAIGemini 4 ArgonGoogle
Capability
Capabilities Index (ECI)162.6166.1 (best)
ECI rank#12 of 165#7 of 165 (best)
GPQA DiamondGraduate-level science questions93.5%96.4% (best)
FrontierMath Tiers 1–3Research-level mathematics89.1% (best)86.0%
OTIS Mock AIME 2024–2025Competition mathematics100%100%
SimpleQA VerifiedShort factual questions69.7%76.0% (best)
Price per million tokens
Input$4.00$2.00 (best)
Output$20.00$10.00 (best)
Cached input$0.40$0.10 (best)
Blended (3:1)$8.00$4.00 (best)
Long-context rateOver 272K: $8.00 / $30.00Same 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-5.6-solgemini-4-argon
API providers49 (best)24
ReleasedJul 9, 2026Oct 13, 2026
Knowledge cutoffFeb 16, 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-5.6 Sol$80.00
  • Gemini 4 Argon$40.00
04 — Questions

Which should you choose?

Which is better: GPT-5.6 Sol or Gemini 4 Argon?

Gemini 4 Argon is the better all-round choice, scoring 74/100 against GPT-5.6 Sol (66). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GPT-5.6 Sol or Gemini 4 Argon?

Gemini 4 Argon is cheaper at $2.00 input / $10.00 output per million tokens (official Google API price). GPT-5.6 Sol costs $4.00 input / $20.00 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 $8.00 for GPT-5.6 Sol (2× as much).

Which scores higher on benchmarks?

Gemini 4 Argon scores higher on the Capabilities Index (ECI): Gemini 4 Argon 166.1 (#7 of 165) and GPT-5.6 Sol 162.6 (#12 of 165). The confidence ranges of the top two overlap (163.1–170.3 vs 159.6–166.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 4 Argon 96.4%, GPT-5.6 Sol 93.5%; FrontierMath Tiers 1–3 — GPT-5.6 Sol 89.1%, Gemini 4 Argon 86.0%; OTIS Mock AIME 2024–2025 — GPT-5.6 Sol 100%, Gemini 4 Argon 100%; SimpleQA Verified — Gemini 4 Argon 76.0%, GPT-5.6 Sol 69.7%.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.6 Sol and Gemini 4 Argon yet, so there is no like-for-like coding score. On overall capability, Gemini 4 Argon 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-5.6 Sol 1,050,000 and Gemini 4 Argon 1,048,576 tokens. Maximum output per response: GPT-5.6 Sol up to 128,000, Gemini 4 Argon up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GPT-5.6 Sol 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-5.6 Sol 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-5.6 Sol came out Jul 9, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 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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