Claude Opus 5.5 vs GPT-6.1 TerraThe 10x Cost Showdown

The 10x Cost Showdown

70 intelligence. But each completed coding task costs 13 dollars and 32 cents. 61 coding intelligence at just 1 dollar and 37 cents. 3% of the price.

5 will run up a bill of 13,320 dollars. 1 Terra costs only 1,370 dollars. That is an immediate savings of nearly 12,000 dollars. Today we are breaking down the direct head to head benchmark between Anthropic's flagship reasoning engine and OpenAI's efficiency champion, analyzing token consumption, execution latency, and how to route between them without sacrificing code quality.

Let us examine why the price difference between these two models is so extreme. Most developers assume that pricing is determined entirely by base token rates.

Token Consumption & Latency

But on primary Slopalytics coding benchmarks, the real cost driver is token consumption per completed run. 5 consumes an average of 221,177 tokens per coding task. 1 Terra requires only 81,457 tokens to solve the exact same problems. 2% reduction in token consumption.

1 Terra reaches functional solutions with substantially fewer reasoning turns and less repetitive context regurgitation. This efficiency carries over directly into execution speed. 2 seconds. Terra is not only 10 times cheaper, it is also roughly 130 seconds faster per pull request.

5 fits into this equation. 5 offers a budget friendly alternative to Opus.

The Sonnet 5.5 Verbosity Tax

5 suffers from a severe verbosity tax. 47 in coding intelligence, which is very close to Opus. However, it consumes an astonishing 342,563 tokens per task. Because Sonnet burns through 342K tokens per run, its average cost reaches 11 dollars and 99 cents per completed task.

You end up paying nearly 12 dollars for Sonnet, saving less than 10% compared to Opus, while generating significantly more context churn. 5 gives you higher reasoning depth. 1 Terra beats Sonnet on cost by almost 9 times. 1 Sol.

GPT-6.1 Sol vs Terra

80 intelligence score at 1 dollar and 41 cents per task. What makes Sol remarkable is that it consumes only 67,122 tokens per completed run. 1 Sol the leanest context footprint of any frontier coding model in the benchmark. When your autonomous harness operates in large codebases where prompt caching and context compaction are critical, Sol prevents terminal buffer exhaustion while delivering performance virtually identical to Terra.

Sub-Dollar Triage: Haiku & DeepSeek

Of course, not every task in your developer loop requires a 47 or 51 intelligence score. For routine tasks like writing unit test assertions, updating dependency configurations, and fixing linter errors, you should never deploy Opus or Terra. This is where sub dollar triage models dominate. 09 in coding intelligence at an astonishing 54 cents per task.

5. In parallel autonomous pipelines, you can run nearly 25 Haiku tasks for the price of a single Opus run. 62 coding intelligence at 66 cents per task. 2 seconds.

5, making DeepSeek Flash the fastest sub dollar model on the leaderboard for rapid background checks.

Severe Value Traps: Grok & Fable

However, the benchmark also reveals models you should strictly avoid in autonomous harnesses. 7. 7 costs a staggering 13 dollars and 27 cents per coding task, making it almost as expensive as Opus. 50.

1 Terra by more than 20 points of intelligence, despite costing nearly 10 times more. 7 in autonomous agent loops is one of the fastest ways to drain an API budget without generating usable pull requests. 1. 5.

78 in coding intelligence. The combination of high token verbosity and premium pricing makes Fable completely impractical for production development.

Alternative Reasoning: Kimi K3.1 Pro

1 Pro provides a compelling middle ground. 14 in coding intelligence at 3 dollars and 53 cents per task, consuming 71,781 tokens. 5, while offering stronger reasoning than any sub dollar model. So how should a modern engineering team design its production coding setup?

The answer is never choosing a single model.

Dual-Model Production Routing

The highest performing engineering teams implement a dual model routing architecture. 5. 70 intelligence score prevents catastrophic regressions. 1 Terra at 1 dollar and 37 cents.

Terra handles feature scaffolding, boilerplate generation, unit test coverage, and straightforward bug fixes. When you run 1,000 coding tasks through this hybrid routing blueprint, 100 Opus tasks cost 1,332 dollars, and 900 Terra tasks cost 1,233 dollars. Your total blended cost drops from 13,320 dollars down to just 2,565 dollars.

That is an immediate 80% reduction in agent infrastructure spend, while maintaining peak reasoning power exactly where it matters most. Check out our full harness breakdown and configuration templates on the channel. And we will see you in the next build.