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Last scan 2026-08-28 Models tracked 237 Providers 31 Cheapest paid Granite 4.0 H Micro $0.017/Mtok in Every price links to its source

GPT-5.6 Sol vs Gemini 3.1 Pro

Side-by-side comparison of API pricing, specs, benchmarks, and capabilities

Gemini 3.1 Pro is 43.8% cheaper on blended cost ($4.50 vs $8.00/Mtok)
Specification
GPT-5.6 SolIntro price
Overview
StatusCurrent flagship Current flagship
Released Jul 9, 2026 Feb 19, 2026
Pricing per million tokens
Input $4.00/Mtok $2.00/Mtok
Output $20.00/Mtok $12.00/Mtok
Blended avg $8.00/Mtok $4.50/Mtok
Cached input $0.400/Mtok $0.200/Mtok
Price basis OpenAI labels this promotional pricing and states it is "available at least through November 21, 2026". That is a floor, not a reversion date — OpenAI publishes no date on which the rate goes back up, so no reversion is claimed here and no countdown is implied. Until 2026-08-21 this model billed $5 input / $0.50 cached input / $30 output per 1M tokens. OpenAI's rate card also prices this model by context length: the tracked figure is the short-context tier, and prompts over the short-context threshold bill at the long-context tier of $8 input / $0.80 cached input / $10 cache write / $30 output per 1M tokens. Cache writes bill at 1.25x the uncached input rate.
Specifications
Context window 1M tokens 2M tokens
Parameters Proprietary Proprietary
Speed (TPS)
Modalities
Input
textimage
textimageaudiovideo
Benchmarks source: Vellum LLM Leaderboard
Avg benchmark score 83.8 74.8
Perf / dollar 10.5 16.6
GPQA Diamond 94.6 94.3
Terminal-Bench 2.1 88.8 70.3
BrowseComp 92.2 85.9
OSWorld-Verified 62.6 76.2
Humanity's Last Exam 47.2 44.4
ARC-AGI 2 92.5 77.1
HumanEval 96.2 80.6
SWE-Bench Verified 96.2
MCP Atlas 69.2
AutoBench 18.1
Independent composite scores each on its own scale — not part of the average above
AA Intelligence Index 60.9 47.7
AA Agentic Index 57.8 23
AA-Omniscience Index (−100–100) 22 31.9
LMSYS Chatbot Arena 1482.2 ELO 1486.7 ELO
GDPval-AA v2 1711.4 ELO
Providers
Available from
OpenAI — $4.00/$20.00/Mtok
Google — $2.00/$12.00/Mtok

Cost at scale

1M tokens · 50/50 input/output
Projected cost of GPT-5.6 Sol vs Gemini 3.1 Pro at increasing token volumes
VolumeGPT-5.6 SolGemini 3.1 ProSavings
1M tokens $8 $4.5 $3.5 (43.8%)
10M tokens $80 $45 $35 (43.8%)
100M tokens $800 $450 $350 (43.8%)
1000M tokens $8000 $4500 $3500 (43.8%)

When to pick which

distilled from the pricing and spec data above
Pick GPT-5.6 Sol if…
  • raw capability matters more than price: 83.8 vs 74.8 average benchmark score
Pick Gemini 3.1 Pro if…
  • cost dominates: $4.50/Mtok blended vs $8.00 — 43.8% less on the same 50/50 token mix
  • you need the longer context: 2M tokens vs 1M (1.9×)

Price movement

recorded changes since we began tracking each model · last checked Aug 28, 2026
Recorded price changes for GPT-5.6 Sol and Gemini 3.1 Pro — how many moves, the direction and date of the latest one, and its old → new prices per million tokens
Model Changes Latest move Old → new $/M
GPT-5.6 Sol 1 price cut on Aug 21, 2026 $5/$30 → $4/$20/Mtok
Gemini 3.1 Pro 0 — no move Stable since we began tracking — no change recorded
Only GPT-5.6 Sol has changed price since we began tracking; Gemini 3.1 Pro has held steady. See all recent price moves → MODELPRICEWATCH.COM · 2026-08-28
Try Gemini 3.1 Pro on Google

The cheaper option here — Gemini 3.1 Pro costs $4.50/Mtok blended on Google.

Get API key →

Summary

GPT-5.6 Sol by OpenAI costs $4.00/Mtok input and $20.00/Mtok output, with a 1M-token context window. It supports text, image input.

Gemini 3.1 Pro by Google costs $2.00/Mtok input and $12.00/Mtok output, with a 2M-token context window. It supports text, image, audio, video input.

On a blended cost basis, Gemini 3.1 Pro is 43.8% cheaper than GPT-5.6 Sol.It also has a larger context window.

On benchmarks, GPT-5.6 Sol scores higher (83.8 vs 74.8) on average. In terms of value, Gemini 3.1 Pro has better performance per dollar (16.6 vs 10.5).

Note: Pricing is per million tokens. Actual costs vary with usage patterns, prompt caching, and batch discounts. Always verify against official provider pricing pages.

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