Pairwise benchmark snapshot · Aug 16, 2026

Claude Opus 4 vs GPT-5.6 Terra benchmark

Name: Claude Opus 4 vs GPT-5.6 Terra AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Claude Opus 4 (Anthropic) and GPT-5.6 Terra (OpenAI) using the latest snapshots we have as of Aug 16, 2026. On preference Elo, GPT-5.6 Terra is ahead by 58 points (1,548 vs 1,490; seed-bootstrap (Aug 16, 2026)). On SWE-bench coding, Claude Opus 4 resolves 72.5% versus 70.4% (seed-bootstrap (Aug 1, 2026)). GPT-5.6 Terra streams faster (128 tok/s) while GPT-5.6 Terra is the cheaper output token ($6/1M). 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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Anthropic

Claude Opus 4

First Claude 4 Opus generation. Baseline for opus 4 vs opus 5.

Elo 1,490$75/1M 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.

Claude Opus 4 (1)vsGPT-5.6 Terra (9)

Claude Opus 4: 1W (10%)Overall: GPT-5.6 TerraGPT-5.6 Terra: 9W (90%)

← Claude Opus 4GPT-5.6 Terra →

GPT-5.6 Terra (4/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,548

Coding Elo

1,502vs1,542

SWE-bench

72.5%vs70.4%

LiveBench

66.8%vs69.1%

GPQA Diamond

80.4%vs82%

Claude Opus 4: 1WGPT-5.6 Terra: 4W

GPT-5.6 Terra (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs128 tok/s

Time to first token

390 msvs160 ms

Claude Opus 4: 0WGPT-5.6 Terra: 2W

GPT-5.6 Terra (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$6/1M

Input price

$15/1Mvs$1/1M

Context window

200kvs1.1M

Claude Opus 4: 0WGPT-5.6 Terra: 3W

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 6/6

Preference Elo

GPT-5.6 Terra

58 pts advantage

Throughput Speed

GPT-5.6 Terra

70 tok/s faster

Price Efficiency

GPT-5.6 Terra

$69.00/1M cheaper

Full Benchmark Score Matrix

—

Elo

High is better

1,490

EloHigh is better

1,548+4%

Code Elo

High is better

1,502

Code EloHigh is better

1,542+3%

LiveBench

High is better

66.8%

LiveBenchHigh is better

69.1%+3%

SWE-bench

High is better

+3%72.5%

SWE-benchHigh is better

70.4%

GPQA

High is better

80.4%

GPQAHigh is better

82%+2%

TTFT

Low is better

390 ms

TTFTLow is better

160 ms+144%

Speed

High is better

58 tok/s

SpeedHigh is better

128 tok/s+121%

In $

Low is better

$15/1M

In $Low is better

$1/1M+1400%

Out $

Low is better

$75/1M

Out $Low is better

$6/1M+1150%

Context

High is better

200k

ContextHigh is better

1.1M+425%

Interactive Simulator

Workload Cost & Savings Calculator

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

Save up to 92% with GPT-5.6 Terra

Monthly Volume50M tokens/mo

Quick Presets:

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

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

Claude Opus 4$1,650.00 / mo

In: $525.00Out: $1125.00

GPT-5.6 Terra$125.00 / mo

In: $35.00Out: $90.00

Estimated Cost Delta

GPT-5.6 Terra is estimated to save $1,525.00/month ($18,300/year).

Based on 50M tokens (30% gen)

Key Selection Recommendations

1
Claude Opus 4:Pick Claude Opus 4 when repo-level coding accuracy is the constraint.
2
GPT-5.6 Terra:Pick GPT-5.6 Terra when you are optimizing output cost.
3
GPT-5.6 Terra:Pick GPT-5.6 Terra when time-to-first-token matters more than peak Elo.

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

High-volume chatGPT-5.6 Terra

Lower output list price ($6/1M).

Voice / low-latency UIGPT-5.6 Terra

Lower TTFT (160 ms).

Long-document RAGGPT-5.6 Terra

Larger window (1.1M).

Screenshots / visionGPT-5.6 Terra

Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Terra).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
High-volume chat	GPT-5.6 Terra	Lower output list price ($6/1M).
Voice / low-latency UI	GPT-5.6 Terra	Lower TTFT (160 ms).
Long-document RAG	GPT-5.6 Terra	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Terra	Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Terra).

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

Anthropic

Claude Opus 4

Elo 1,490

LiveBench66.8%

SWE-bench72.5%

Speed58 tok/s

Output cost$75/1M

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, Claude Opus 4 or GPT-5.6 Terra?: GPT-5.6 Terra has the higher preference Elo in our latest snapshot (1,548). “Better” still depends on coding, price, and latency — see the table.
Which is better at coding, Claude Opus 4 or GPT-5.6 Terra?: Claude Opus 4 leads SWE-bench at 72.5% vs 70.4%. SWE-bench is one harness, not your repo.
Which is cheaper to run in production?: GPT-5.6 Terra output tokens are $6/1M versus $75/1M. Input prices and retry rates still move the real bill.
Which is faster, Claude Opus 4 or GPT-5.6 Terra?: GPT-5.6 Terra has the lower time-to-first-token (160 ms vs 390 ms). Tokens/sec is a separate column if you care about long completions.
Which has the larger context window?: GPT-5.6 Terra accepts 1.1M tokens versus 200k.
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. Claude Opus 4 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 Claude Opus 4 matchups →|All GPT-5.6 Terra matchups →

Claude Opus 4 vs Claude 3 Opus (previous opus)Claude Opus 4 vs Claude Opus 4.5 (next opus)Claude Sonnet 4.5 vs GPT-5.6 Terra GPT-4.5 Orion vs GPT-5.6 Terra Claude Sonnet 5 vs GPT-5.6 Terra GPT-5 vs GPT-5.6 Terra

Claude Opus 4 vs GPT-5.6 Terra benchmark

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Claude Opus 4 (1)vsGPT-5.6 Terra (9)

Claude Opus 4: 1W (10%)Overall: GPT-5.6 TerraGPT-5.6 Terra: 9W (90%)

← Claude Opus 4GPT-5.6 Terra →

GPT-5.6 Terra (4/5)

Intelligence & Reasoning

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

Preference Elo

1,490vs1,548

Coding Elo

1,502vs1,542

SWE-bench

72.5%vs70.4%

LiveBench

66.8%vs69.1%

GPQA Diamond

80.4%vs82%

Claude Opus 4: 1WGPT-5.6 Terra: 4W

GPT-5.6 Terra (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

58 tok/svs128 tok/s

Time to first token

390 msvs160 ms

Claude Opus 4: 0WGPT-5.6 Terra: 2W

GPT-5.6 Terra (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$75/1Mvs$6/1M

Input price

$15/1Mvs$1/1M

Context window

200kvs1.1M

Claude Opus 4: 0WGPT-5.6 Terra: 3W

Recommended Workload Routing

Repo / coding agentsClaude Opus 4

Higher SWE-bench (72.5%).

High-volume chatGPT-5.6 Terra

Lower output list price ($6/1M).

Voice / low-latency UIGPT-5.6 Terra

Lower TTFT (160 ms).

Long-document RAGGPT-5.6 Terra

Larger window (1.1M).

Screenshots / visionGPT-5.6 Terra

Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Terra).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	Claude Opus 4	Higher SWE-bench (72.5%).
High-volume chat	GPT-5.6 Terra	Lower output list price ($6/1M).
Voice / low-latency UI	GPT-5.6 Terra	Lower TTFT (160 ms).
Long-document RAG	GPT-5.6 Terra	Larger window (1.1M).
Screenshots / vision	GPT-5.6 Terra	Both accept images. Defaulting to the higher-Elo side (GPT-5.6 Terra).

Frequently Asked Questions

Which is better overall, Claude Opus 4 or GPT-5.6 Terra?

GPT-5.6 Terra has the higher preference Elo in our latest snapshot (1,548). “Better” still depends on coding, price, and latency — see the table.

Which is better at coding, Claude Opus 4 or GPT-5.6 Terra?

Claude Opus 4 leads SWE-bench at 72.5% vs 70.4%. SWE-bench is one harness, not your repo.

Which is cheaper to run in production?

GPT-5.6 Terra output tokens are $6/1M versus $75/1M. Input prices and retry rates still move the real bill.

Which is faster, Claude Opus 4 or GPT-5.6 Terra?

GPT-5.6 Terra has the lower time-to-first-token (160 ms vs 390 ms). Tokens/sec is a separate column if you care about long completions.

Which has the larger context window?

GPT-5.6 Terra accepts 1.1M tokens versus 200k.

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. Claude Opus 4 and GPT-5.6 Terra Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

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Interactive Comparison Diagram

Tug-of-War Matchup Matrix

Intelligence & Reasoning

Speed & Latency

Pricing & Capacity

Multi-Dimensional Capability Radar

GPT-5.6 Terra

GPT-5.6 Terra

GPT-5.6 Terra

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

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Claude Opus 4

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

GPT-5.6 Terra

GPT-5.6 Terra

GPT-5.6 Terra

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

Claude Opus 4

GPT-5.6 Terra

Frequently Asked Questions

Related news

Similar Head-to-Head Comparisons