Head-to-head AI model comparison graphic: Claude Opus 5 (Anthropic) vs GPT-6.1 Terra (OpenAI). Intelligence index 44.2 vs 51.3; output speed 50 vs 114 tokens per second; time to first token 62s vs 6.2 min; output price $25.00 vs $5.00 per million tokens; input price $5.00 vs $1.00 per million tokens. franklineh.com
Claude Opus 5 vs GPT-6.1 Terra: head-to-head AI benchmark comparison. GPT-6.1 Terra leads on intelligence index, output speed, output price and input price; Claude Opus 5 leads on time to first token.
Head to headUpdated

Claude Opus 5 Max vs GPT-6.1 Terra Max compared

GPT-6.1 Terra Max leads the intelligence index 51.3 to 44.2. Compare price, speed, latency and a clear verdict.

Pick it for Claude Opus 5 · Max

  • Shorter wait for the first token: 62 seconds against 6.2 minutes.
  • Finishes a typical reply sooner: about 82 seconds against 6.3 minutes for 1,000 tokens, counting the first-token wait.

Pick it for GPT-6.1 Terra · Max

  • Lower cost: $2.00 against $10.00 for 1 million input and 200,000 output tokens.
  • Higher intelligence index: 51.3 against 44.2.
  • Higher throughput once writing (114 tokens per second against 50 tokens per second), though it only finishes first beyond about 27,000 tokens.

By the numbers

MetricClaude Opus 5 (Max)GPT-6.1 Terra (Max)
Intelligence Index44.251.3
Input price (per 1M tokens)$5.00$1.00
Output price (per 1M tokens)$25.00$5.00
Output speed (tokens/s)50114
Time to first token62s6.2 min
Release date2026-07-242026-10-26

Claude Opus 5 (Max) (Anthropic) and GPT-6.1 Terra (Max) (OpenAI) meet here on their recorded benchmark, price and speed data. This page is written automatically from catalogue numbers only: benchmark scores, list prices and measured speed. Price separates them more than anything else; on a blended basis Claude Opus 5 Max costs 5 times as much as GPT-6.1 Terra Max.

Price per token

Per million tokens, Claude Opus 5 Max charges $5.00 for input and $25.00 for output, while GPT-6.1 Terra Max charges $1.00 and $5.00. That makes GPT-6.1 Terra Max's output 80% cheaper.

For a sample workload of 1 million input tokens and 200,000 output tokens, Claude Opus 5 Max would cost $10.00 and GPT-6.1 Terra Max $2.00, a difference of $8.00. A bigger example, summarising 1,000 documents of 8,000 tokens into 400-token summaries, costs $50.00 on Claude Opus 5 Max and $10.00 on GPT-6.1 Terra Max: a gap of $40.00. Blended at three input tokens per output token, the effective rates are $10.00 for Claude Opus 5 Max and $2.00 for GPT-6.1 Terra Max.

When they came out

GPT-6.1 Terra Max arrived on October 26, 2026, about 3 months after Claude Opus 5 Max (July 24, 2026).

Benchmark scores

GPT-6.1 Terra Max comes out ahead on the intelligence index, 51.3 to 44.2. That is a clear margin for an index that averages many evaluations.

Across the 109 active models with an intelligence score in the catalogue, Claude Opus 5 Max ranks 26th and GPT-6.1 Terra Max ranks 14th.

Neither model has a separate coding or math index recorded yet, so those narrower comparisons will have to wait for more data.

Speed and latency

Claude Opus 5 Max generates about 50 tokens per second and GPT-6.1 Terra Max about 114 tokens per second. GPT-6.1 Terra Max is ahead by 129% on throughput. The wait for the first token averages 62 seconds on Claude Opus 5 Max against 6.2 minutes on GPT-6.1 Terra Max. GPT-6.1 Terra Max writes faster once it starts, but Claude Opus 5 Max's head start is large enough that Claude Opus 5 Max still finishes first at any typical reply length; GPT-6.1 Terra Max only catches up beyond about 27,000 tokens. Waits that long are felt on every chat-style request, though they matter less for batch jobs.

Add the two numbers up for a 1,000-token reply and Claude Opus 5 Max finishes first: 82 seconds for Claude Opus 5 Max, 6.3 minutes for GPT-6.1 Terra Max.

Is the price in proportion?

A blunt value measure, blended price over intelligence score, puts Claude Opus 5 Max at $0.23 and GPT-6.1 Terra Max at $0.039 per point. With the higher score and the lower cost per point, GPT-6.1 Terra Max is the better value per point on these numbers.

FAQ

Is Claude Opus 5 Max better than GPT-6.1 Terra Max?

Neither wins everywhere: GPT-6.1 Terra Max scores higher on the intelligence index, 51.3 to 44.2; GPT-6.1 Terra Max is 80% cheaper on blended price; GPT-6.1 Terra Max streams output 2.3 times as fast; and Claude Opus 5 Max reaches its first token sooner.

Which is faster, Claude Opus 5 Max or GPT-6.1 Terra Max?

GPT-6.1 Terra Max generates output faster, at 114 tokens per second against 50 tokens per second. Claude Opus 5 Max reaches its first token sooner (62 seconds against 6.2 minutes). Counting the first-token wait, Claude Opus 5 Max finishes first for any reply shorter than about 27,000 tokens.

Was this comparison tested by hand?

The figures are the recorded benchmark, price and speed data in Franklin AI's model catalogue. This page is written from that data automatically; neither model was tested by hand for it.

When were Claude Opus 5 Max and GPT-6.1 Terra Max released?

GPT-6.1 Terra Max is newer. It was released on October 26, 2026, about 3 months after Claude Opus 5 Max (July 24, 2026).

Who makes Claude Opus 5 Max and GPT-6.1 Terra Max?

Claude Opus 5 Max is made by Anthropic and GPT-6.1 Terra Max by OpenAI. Claude Opus 5 Max was released on July 24, 2026 and GPT-6.1 Terra Max on October 26, 2026.

Final whistle

Short answer: GPT-6.1 Terra Max is the stronger all-round pick on this data, while Claude Opus 5 Max makes sense in narrower cases. Pick GPT-6.1 Terra Max if cost matters ($5.00 against $25.00 per million output tokens) and you need the higher overall score (51.3 against 44.2). Pick Claude Opus 5 Max if users are waiting on the first word and replies need to finish sooner at typical lengths.

Where the numbers come from

The scores, speed and prices in this comparison come from independent third-party model evaluations that Franklin AI syncs each day, and the article was written from a snapshot of them. For the latest results, open the Claude Opus 5 (Max) and GPT-6.1 Terra (Max) pages. The AI Benchmark methodology explains how that data is collected and shown.

Comments (0)

No comments yet

Be the first to share your thoughts!