Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Google: Gemini 3.6 Flash (batch) vs GPT-5.6 Terra benchmark

Name: Google: Gemini 3.6 Flash (batch) vs GPT-5.6 Terra AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Google: Gemini 3.6 Flash (batch) (Google) and GPT-5.6 Terra (OpenAI) using the latest snapshots we have as of Aug 17, 2026. Google: Gemini 3.6 Flash (batch) wins on output price at $1.88/1M. GPT-5.6 Terra has the larger context window (1.1M tokens). Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Google

Google: Gemini 3.6 Flash (batch)

Auto-discovered from OpenRouter (google/gemini-3.6-flash:batch). Preview until a second source matches.

$1.875/1M out

OpenAI

GPT-5.6 Terra

OpenAI 5.6 mid tier. Official API $2/$12 per 1M after the Jul 30 2026 price cut.

Elo 1,548$6/1M out

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Google: Gemini 3.6 Flash (batch) (2)vsGPT-5.6 Terra (8)

Google: Gemini 3.6 Flash (batch): 2W (20%)Overall: GPT-5.6 TerraGPT-5.6 Terra: 8W (80%)

← Google: Gemini 3.6 Flash (batch)GPT-5.6 Terra →

GPT-5.6 Terra (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,548

Coding Elo

—vs1,542

SWE-bench

—vs70.4%

LiveBench

—vs69.1%

GPQA Diamond

—vs82%

Google: Gemini 3.6 Flash (batch): 0WGPT-5.6 Terra: 5W

GPT-5.6 Terra (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs128 tok/s

Time to first token

—vs160 ms

Google: Gemini 3.6 Flash (batch): 0WGPT-5.6 Terra: 2W

Google: Gemini 3.6 Flash (batch) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.88/1Mvs$6/1M

Input price

$0.38/1Mvs$1/1M

Context window

1Mvs1.1M

Google: Gemini 3.6 Flash (batch): 2WGPT-5.6 Terra: 1W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageGPT-5.6 Terra 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

Google: Gemini 3.6 Flash (batch)

$4.13/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

—

EloHigh is better

1,548

Code Elo

High is better

—

Code EloHigh is better

1,542

LiveBench

High is better

—

LiveBenchHigh is better

69.1%

SWE-bench

High is better

—

SWE-benchHigh is better

70.4%

GPQA

High is better

—

GPQAHigh is better

82%

TTFT

Low is better

—

TTFTLow is better

160 ms

Speed

High is better

—

SpeedHigh is better

128 tok/s

In $

Low is better

+167%$0.38/1M

In $Low is better

$1/1M

Out $

Low is better

+220%$1.88/1M

Out $Low is better

$6/1M

Context

High is better

ContextHigh is better

1.1M

Interactive Simulator

Workload Cost & Savings Calculator

Simulate monthly production API costs based on published $/1M tokens.

Save up to 67% with Google: Gemini 3.6 Flash (batch)

Monthly Volume50M tokens/mo

Quick Presets:

Token Ratio (In vs Out)70% In / 30% Out

RAG / Search (10% out)Coding / Chat (50% out)

Google: Gemini 3.6 Flash (batch)$41.25 / mo

In: $13.13Out: $28.13

GPT-5.6 Terra$125.00 / mo

In: $35.00Out: $90.00

Estimated Cost Delta

Google: Gemini 3.6 Flash (batch) is estimated to save $83.75/month ($1,005/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Google: Gemini 3.6 Flash (batch):Pick Google: Gemini 3.6 Flash (batch) when you are optimizing output cost.
2
GPT-5.6 Terra:Pick GPT-5.6 Terra for million-token RAG or long-document jobs.

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.6 Flash (batch)

Lower output list price ($1.88/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5.6 Terra

Larger window (1.1M).

Screenshots / visionGPT-5.6 Terra

GPT-5.6 Terra is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemini 3.6 Flash (batch)	Lower output list price ($1.88/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5.6 Terra	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Terra	GPT-5.6 Terra is the side marked multimodal in the catalog.

Related Editorial Dispatches & Benchmark Notes

View all news

priceJul 30, 2026

GPT-5.6 Terra after the Jul 30 cut: $2/$12 mid-tier

Terra is OpenAI’s Sonnet-class invoice. Use it when Sol is too expensive and Luna is too small.

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LIVE

Google

Google: Gemini 3.6 Flash (batch)

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost$1.88/1M

OpenAI

GPT-5.6 Terra

Elo 1,548

LiveBench69.1%

SWE-bench70.4%

Speed128 tok/s

Output cost$6/1M

Frequently Asked Questions

Which is better overall, Google: Gemini 3.6 Flash (batch) or GPT-5.6 Terra?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Google: Gemini 3.6 Flash (batch) or GPT-5.6 Terra?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: Google: Gemini 3.6 Flash (batch) output tokens are $1.88/1M versus $6/1M. Input prices and retry rates still move the real bill.
Which is faster, Google: Gemini 3.6 Flash (batch) or GPT-5.6 Terra?: We do not have TTFT for both models.
Which has the larger context window?: GPT-5.6 Terra accepts 1.1M tokens versus 1M.
Can I self-host either model?: Neither model is marked open-weights here. You are comparing hosted APIs.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Google: Gemini 3.6 Flash (batch) and GPT-5.6 Terra Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Google: Gemini 3.6 Flash (batch) matchups →|All GPT-5.6 Terra matchups →

GPT-5 vs GPT-5.6 Terra Gemini 3 Pro vs GPT-5.6 Terra Gemini 3 Flash vs GPT-5.6 Terra GPT-4.5 Orion vs GPT-5.6 Terra Gemini 2.0 Flash Thinking vs GPT-5.6 Terra GPT-5.6 Sol vs GPT-5.6 Terra

Google: Gemini 3.6 Flash (batch) vs GPT-5.6 Terra benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Google: Gemini 3.6 Flash (batch) (2)vsGPT-5.6 Terra (8)

Google: Gemini 3.6 Flash (batch): 2W (20%)Overall: GPT-5.6 TerraGPT-5.6 Terra: 8W (80%)

← Google: Gemini 3.6 Flash (batch)GPT-5.6 Terra →

GPT-5.6 Terra (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

—vs1,548

Coding Elo

—vs1,542

SWE-bench

—vs70.4%

LiveBench

—vs69.1%

GPQA Diamond

—vs82%

Google: Gemini 3.6 Flash (batch): 0WGPT-5.6 Terra: 5W

GPT-5.6 Terra (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

—vs128 tok/s

Time to first token

—vs160 ms

Google: Gemini 3.6 Flash (batch): 0WGPT-5.6 Terra: 2W

Google: Gemini 3.6 Flash (batch) (2/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$1.88/1Mvs$6/1M

Input price

$0.38/1Mvs$1/1M

Context window

1Mvs1.1M

Google: Gemini 3.6 Flash (batch): 2WGPT-5.6 Terra: 1W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatGoogle: Gemini 3.6 Flash (batch)

Lower output list price ($1.88/1M).

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGGPT-5.6 Terra

Larger window (1.1M).

Screenshots / visionGPT-5.6 Terra

GPT-5.6 Terra is the side marked multimodal in the catalog.

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	Google: Gemini 3.6 Flash (batch)	Lower output list price ($1.88/1M).
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	GPT-5.6 Terra	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Terra	GPT-5.6 Terra is the side marked multimodal in the catalog.

Frequently Asked Questions

Which is better overall, Google: Gemini 3.6 Flash (batch) or GPT-5.6 Terra?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Google: Gemini 3.6 Flash (batch) or GPT-5.6 Terra?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

Google: Gemini 3.6 Flash (batch) output tokens are $1.88/1M versus $6/1M. Input prices and retry rates still move the real bill.

Which is faster, Google: Gemini 3.6 Flash (batch) or GPT-5.6 Terra?

We do not have TTFT for both models.

Which has the larger context window?

GPT-5.6 Terra accepts 1.1M tokens versus 1M.

Can I self-host either model?

Neither model is marked open-weights here. You are comparing hosted APIs.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Google: Gemini 3.6 Flash (batch) and GPT-5.6 Terra Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Google: Gemini 3.6 Flash (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5.6 Terra after the Jul 30 cut: $2/$12 mid-tier

Cast Your Matchup Vote

Community Discussions (0)

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CompareLLM Matrix

Google: Gemini 3.6 Flash (batch)

GPT-5.6 Terra

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons

Swap or Add Any Model to this Matchup

Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

No shared data

No shared data

Google: Gemini 3.6 Flash (batch)

Full Benchmark Score Matrix

Workload Cost & Savings Calculator

Key Selection Recommendations

Recommended Workload Routing

Related Editorial Dispatches & Benchmark Notes

GPT-5.6 Terra after the Jul 30 cut: $2/$12 mid-tier

Cast Your Matchup Vote

Community Discussions (0)

Share card

CompareLLM Matrix

Google: Gemini 3.6 Flash (batch)

GPT-5.6 Terra

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons