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Gemini 4 Argon vs GPT-6 Sol: pricing and benchmarks

Both charge $2.00 per 1M input tokens. Both charge $10.00 per 1M output tokens. On our document Q&A workload both models cost $1,100 a month. Roughly tied. Gemini 4 Argon scores 164.6 and GPT-6 Sol scores 162.6 on the Epoch Capabilities Index, and their confidence intervals overlap.

Prices verified October 17, 2026.

Which should you choose?

Overall capability
Too close to call

Roughly tied. Gemini 4 Argon scores 164.6 and GPT-6 Sol scores 162.6 on the Epoch Capabilities Index, and their confidence intervals overlap.

Advanced math
GPT-6 Sol

GPT-6 Sol scores 89.8% on FrontierMath (Tiers 1–3) vs 86.0% for Gemini 4 Argon.

Price
Too close to call

Both cost $4.00 per 1M tokens at a 3:1 input-to-output mix.

Pricing and specs

Gemini 4 ArgonGPT-6 Sol
ProviderGoogleOpenAI
API model IDgemini-4-argongpt-6-sol
Input / 1M tokens$2.00$2.00
Cached input / 1M tokens$0.10$0.20
Output / 1M tokens$10.00$10.00
Long-context rates—$4.00 in / $15.00 out on long-context requests
Context window1.05M tokens1.05M tokens
Max output66K tokens128K tokens
Batch discount50% off50% off

Benchmarks

Gemini 4 ArgonGPT-6 Sol
Epoch Capabilities Index164.6162.6
GPQA Diamond· Science reasoning96.4%94.3%
FrontierMath (Tiers 1–3)· Advanced math86.0%89.8%
SimpleQA Verified· Factual accuracy76.0%60.7%
ARC-AGI-2· Abstract reasoning—89.6%
DeepSWE· Coding——
APEX-Agents· Agentic work82.4%54.3%

Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks

Monthly cost for real workloads

WorkloadGemini 4 ArgonGPT-6 SolDifference
Support chatbot
100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each.
$700.00$700.00Same
Document Q&A (RAG)
50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each.
$1,100$1,100Same
Coding agent
10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens.
$468.00$496.00Gemini 4 Argon 6% cheaper

Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.

Gemini 4 Argon vs GPT-6 Sol cost calculator

Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.

Gemini 4 Argon pricing notes

Google’s flagship reasoning model for complex coding, agents, math and science.

  • Introductory price through November 30, 2026. From December 1, 2026: $4 input, $0.20 cached, $20 output per 1M tokens.
  • Not available on the Gemini API free tier.
  • Output price includes thinking tokens.
  • Max output is 65,536 tokens by default and up to 1,048,576 with long decode.
  • Implicit caching only; explicit context caching is not supported.
  • Priority inference costs 1.8x the standard rate.
Google official pricing ↗

GPT-6 Sol pricing notes

OpenAI’s GPT-6 model built to power complex coding and agentic workflows.

  • Cache writes are billed at $2.50 per 1M tokens.
  • Fast mode costs 2x the standard rate; Flex costs half.
  • Regional (data residency) endpoints add a 10% uplift, and EU data residency is available only with standard processing.
OpenAI official pricing ↗

Frequently asked questions

Is Gemini 4 Argon cheaper than GPT-6 Sol?
Both charge $2.00 per 1M input tokens. Both charge $10.00 per 1M output tokens. On our document Q&A workload both models cost $1,100 a month.
Which is more capable, Gemini 4 Argon or GPT-6 Sol?
Roughly tied. Gemini 4 Argon scores 164.6 and GPT-6 Sol scores 162.6 on the Epoch Capabilities Index, and their confidence intervals overlap.
How much does Gemini 4 Argon cost per 1M tokens?
Gemini 4 Argon costs $2.00 per 1M input tokens and $10.00 per 1M output tokens, and $0.10 per 1M cached input tokens on Google’s standard tier.
How much does GPT-6 Sol cost per 1M tokens?
GPT-6 Sol costs $2.00 per 1M input tokens and $10.00 per 1M output tokens, and $0.20 per 1M cached input tokens on OpenAI’s standard tier.
Which has the larger context window, Gemini 4 Argon or GPT-6 Sol?
GPT-6 Sol has the larger context window: 1.05M tokens versus 1.05M for Gemini 4 Argon.

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