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Head-to-head comparison

Gemini 4 Argon vs GPT-5.5

Gemini 4 Argon (Google) and GPT-5.5 (OpenAI) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.

Snapshot as of 13 October 2026

As of 13 October 2026, GPT-5.5 holds the stronger ModelCap Index position (#17 vs #33); and Gemini 4 Argon is 3× cheaper per output token ($10.00/1M vs $30.00/1M).

Which should you choose?

Choose Gemini 4 Argon if…

  • API cost matters — $10.00/1M output tokens against $30.00/1M, about 3× cheaper.
  • your workload is prompt-heavy — input tokens cost $2.00/1M against $5.00/1M.
  • AA Intelligence Index is your yardstick — 52.6 against 38.4.
  • AA Humanity's Last Exam is your yardstick — 57.1% against 45.8%.
  • you want the more recently listed model — Gemini 4 Argon was listed 13 October 2026, GPT-5.5 24 April 2026.

Choose GPT-5.5 if…

  • you want the stronger overall ModelCap Index position — #17 against #33 (80.2 vs 73.0 points).
  • you want provider choice — 3 listed API providers against 2.

Gemini 4 Argon vs GPT-5.5: specs, pricing and context

Specification comparison of Gemini 4 Argon and GPT-5.5
FieldGemini 4 ArgonGoogleGPT-5.5OpenAI
ModelCap Index position#33#17
Index score73.080.2
EvidenceEstimatedMeasured
Input price / 1M tokens$2.00$5.00
Output price / 1M tokens$10.00$30.00
Context window1M tokens1M tokens
Declared route output cap66K128K
API providers listed23
Weight accessNo linked weightsNo linked weights
Input modalitiesAudio, File, Image, Text, VideoFile, Image, Text
First listed13 October 202624 April 2026
PublisherGoogleOpenAI

Evidence: 1 reported rows against measured corpus ladders (72%); publisher-corpus-prior over 211 held-out anchors (28%); shrunk 3.7 toward the measured corpus · 6 public benchmark observations across 6 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Gemini 4 Argon vs GPT-5.5

Public benchmark boards where Gemini 4 Argon or GPT-5.5 has a published result
BoardGemini 4 ArgonGPT-5.5Leads
Arena textArena (LMArena)—14821478–1485HighOnly one result
Arena codingArena (LMArena)—15191513–1524HighOnly one result
LMArena AgentLMArena—4.7%3.5%–5.9%X-HighOnly one result
ARC-AGI-2ARC Prize Foundation—85.0%X-HighOnly one result
ARC-AGI-3ARC Prize Foundation—0.4%HighOnly one result
AA Intelligence IndexArtificial Analysis52.6High38.4X-HighGemini 4 Argon
AA Terminal-Bench 2.1Artificial Analysis—84.3%X-HighOnly one result
AA τ²-Bench TelecomArtificial Analysis—93.9%X-HighOnly one result
AA Humanity's Last ExamArtificial Analysis57.1%High45.8%X-HighGemini 4 Argon
Terminal-Bench 2.1 Terminus 2Terminal-Bench—78.0X-HighOnly one result
WildClawBench OpenClawWildClawBench—58.2Only one result

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Gemini 4 Argon vs GPT-5.5: common questions

Is Gemini 4 Argon better than GPT-5.5?

GPT-5.5 ranks higher on the ModelCap Index as of 13 October 2026: #17 against #33. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.

Is Gemini 4 Argon cheaper than GPT-5.5?

Gemini 4 Argon is cheaper on output tokens: $10.00/1M against $30.00/1M. Input tokens are $2.00/1M for Gemini 4 Argon and $5.00/1M for GPT-5.5. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $9.00 for Gemini 4 Argon versus $25.00 for GPT-5.5. Gemini 4 Argon costs 64.0% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.

Which has the bigger context window, Gemini 4 Argon or GPT-5.5?

Both publish a 1M-token context window. OpenRouter catalogue or provider-endpoint declaration. Limits can vary by provider and prompt length; a model-wide maximum has not been independently verified.

Which is better for coding, Gemini 4 Argon or GPT-5.5?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Gemini 4 Argon and GPT-5.5 open-weight models?

Gemini 4 Argon: No linked weights. GPT-5.5: No linked weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence. A missing weight link does not identify every API or chat product that offers a model.

Where can I run Gemini 4 Argon and GPT-5.5?

ModelCap currently lists 2 API providers for Gemini 4 Argon and 3 for GPT-5.5, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Gemini 4 Argon vs GPT-5.5 comparison?

Every figure and ModelCap Index position comes from the same published snapshot dated 13 October 2026. Publication and page updates happen separately; use the snapshot date shown on the page.

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