By the toolist.ai editors. Researched from public sources, not hands-on tested by toolist.ai. Updated October 6, 2026; prices checked October 6, 2026.

GPT-6.1 Sol vs Claude Opus 5.5

Verdict

Claude Opus 5.5 is the stronger model: it scores higher on all eight benchmarks both have, from the Intelligence Index (57.6 against 51.8) to the Coding Agent Index (66.0 against 60.1). GPT-6.1 Sol costs half as much per token ($2 and $10 against $4 and $20), so it wins when volume and budget come first.

Verdict based on published prices, limits and benchmarks, not on our own tests.

Choose GPT-6.1 Sol if

  • Budget comes first: our support-chatbot workload costs $1,000 a month on Sol against $2,000 on Opus 5.5
  • You want a fast first token at the default effort (6.2 seconds against 20.6)
  • Your prompts repeat: Sol's cached input costs $0.10 per million tokens against Opus 5.5's $0.20

Choose Claude Opus 5.5 if

  • You want the strongest coding agent of the two (66.0 against 60.1 on the Coding Agent Index)
  • Your work is knowledge work or research (1866 against 1575 Elo on GDPval-AA; 61.4% against 52.9% on Humanity's Last Exam)
  • Your prompts run past 272,000 tokens, where OpenAI doubles Sol's input price and Anthropic adds no surcharge

Price

Input costs 2 times as much on Claude Opus 5.5 as on GPT-6.1 Sol. Output costs 2 times as much on Claude Opus 5.5 as on GPT-6.1 Sol.

Per million tokensGPT-6.1 SolClaude Opus 5.5
Input$2 source$4 source
Cached input$0.10 source$0.20 source
Output$10 source$20 source

GPT-6.1 Sol: Prompts over 272,000 input tokens are billed at twice the input rate and 1.5 times the output rate for the whole request. Batch and Flex processing cost half; Fast mode costs double.

Claude Opus 5.5: Cache writes cost $5 per million tokens (5-minute cache) or $8 (1-hour cache). The Batch API costs half. There is no long-context surcharge. Fast mode costs $8 in and $40 out.

Worked example: what a month costs

We priced three monthly workloads at the standard rates. The provider does not publish these figures.

WorkloadGPT-6.1 SolClaude Opus 5.5
Support chatbot
100,000 replies, each 3,000 input and 400 output tokens, no caching (300M in, 40M out)
$1,000$2,000
Document Q&A
5,000 questions over the same 60,000-token document set (90% cache hits), 800 output tokens each (300M in, 4M out)
$127$254
Coding agent
200 tasks, each 1.5 million input tokens (90% cache hits) and 50,000 output tokens (300M in, 10M out)
$187$374

Price your own workload

ModelCost a month
GPT-6.1 Sol $150
Claude Opus 5.5 $300

Standard API prices, no batch or priority discounts. Cached input is billed at the cache-read price; cache-write charges are not included. Reasoning models bill their thinking as output tokens.

Limits and release dates

GPT-6.1 SolClaude Opus 5.5
ReleasedSeptember 29, 2026 sourceSeptember 22, 2026 source
Context window1,050,000 tokens source1,000,000 tokens source
Maximum output128,000 tokens source128,000 tokens source
Knowledge cutoffApril 30, 2026 sourceJune 2026 source
Input and outputText and images in; text out sourceText and images in; text out source
API model namegpt-6.1-solclaude-opus-5-5

Benchmarks

Scores as published by the provider or measured by Artificial Analysis; higher is better. A dash means no score was published.

BenchmarkGPT-6.1 SolClaude Opus 5.5
Artificial Analysis Intelligence Index
max effort
51.8 source57.6 source
Intelligence Index at everyday effort
medium effort, the API default
47.8 source51.2 source
Coding Agent Index 60.1 (Codex harness, max effort) source66.0 (Claude Code harness, max effort) source
Terminal-Bench 4.0
max effort
56.1% source59.6% source
Humanity's Last Exam
max effort
52.9% source61.4% source
GDPval-AA v2.1 (Elo)
max effort
1575 source1866 source
SciCode
max effort
54.2% source66.9% source
Terminal-Bench-Science 0.1
max effort
58.1% source59.0% source
Output speed 48.8 tokens/s (medium effort, OpenAI API) source79.2 tokens/s (medium effort, Anthropic API) source

Benchmark and speed data from Artificial Analysis where linked.

Read more

Sources