GPT-5.5 vs Trinity-Large-Thinking

Name: GPT-5.5
Author: OpenAI

GPT-5.5 (2026) and Trinity-Large-Thinking (2026) are frontier-tier reasoning models from OpenAI and Arcee AI. GPT-5.5 ships a 1.05m-token context window, while Trinity-Large-Thinking ships a 256k-token context window. On Google-Proof Q&A, GPT-5.5 leads by 4.4 pts. On pricing, GPT-5.5 ranges from $5 to $8/1M input tokens by tier; Trinity-Large-Thinking costs $0.22/1M input tokens. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

GPT-5.5 fits 4x more tokens; pick it for long-context work and Trinity-Large-Thinking for tighter calls.

Decision scorecard

Local evidence first

Signal	GPT-5.5	Trinity-Large-Thinking	How to read it
Best for	reasoning-heavy apps, multimodal apps, and tool-calling agents	reasoning-heavy apps, tool-calling agents, and provider-routed production	Use-case synthesis from product type, capability flags, context, and provider data.
Decision fit	Coding, RAG, and Agents	RAG, Agents, and Long context	Primary workload tags from local decision data.
Context window	1.05m	256k	Higher is better when prompts, retrieval chunks, or transcripts are large.
Cheapest output	$30/1M tokens	$0.85/1M tokens	Cheapest tracked provider route; verify your exact region and tier.
Provider routes	4 tracked	3 tracked	Broader coverage can reduce vendor lock-in and fallback risk.
Shared benchmarks	Google-Proof Q&A leader	1 shared	Visible benchmark lead is 4.4 points on Google-Proof Q&A.

Decision tradeoffs

Choose GPT-5.5 when...

GPT-5.5 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 4.4 points.
GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
GPT-5.5 has broader tracked provider coverage for fallback and route flexibility.
GPT-5.5 uniquely exposes Vision, Multimodal, and Code execution in local model data.
Local decision data tags GPT-5.5 for Coding, RAG, and Agents.

Choose Trinity-Large-Thinking when...

Trinity-Large-Thinking has the lower cheapest tracked output price at $0.85/1M tokens.
Local decision data tags Trinity-Large-Thinking for RAG, Agents, and Long context.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Trinity-Large-Thinking

Requests / monthInput tokens / requestOutput tokens / request

GPT-5.5

$11,500

Cheapest tracked route/tier: OpenAI API 0-272K input tokens

Trinity-Large-Thinking

$389

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $11,112. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5.5 -> Trinity-Large-Thinking

Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
Trinity-Large-Thinking is $29.15/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
Check replacement coverage for Vision, Multimodal, and Code execution before moving production traffic.

Trinity-Large-Thinking -> GPT-5.5

Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
GPT-5.5 is $29.15/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
GPT-5.5 adds Vision, Multimodal, and Code execution in local capability data.

Specs

Specification	GPT-5.5 OpenAI	Trinity-Large-Thinking Arcee AI
Released	2026-04-23	2026-04-01
Context window	1.05m	256k
Parameters	—	400B
Architecture	Decoder Only	Mixture of Experts
License	Proprietary	Apache 2.0OSI-approved
Openness	Proprietary	Open source
Weights	Not released	Available
Code	Unknown	Unknown
Commercial use	Commercial use: conditional	Commercial use: permitted
Knowledge cutoff	2025-12	-

Pricing and availability

Pricing attribute	GPT-5.5	Trinity-Large-Thinking
Input price	0-272K input tokens $5/1M tokens Standard GPT-5.5 token pricing before the long-context surcharge threshold. 272K+ input tokens $8/1M tokens Long-context surcharge applies above 272K input tokens for the full session.	$0.22/1M tokens
Output price	0-272K input tokens $30/1M tokens Standard GPT-5.5 token pricing before the long-context surcharge threshold. 272K+ input tokens $36/1M tokens Long-context surcharge applies above 272K input tokens for the full session.	$0.85/1M tokens
Providers	OpenAI API OpenRouter Vercel AI Gateway AWS Bedrock	Arcee AI OpenRouter Vercel AI Gateway

Capabilities

Capability	GPT-5.5	Trinity-Large-Thinking
Vision	Yes	No
Multimodal	Yes	No
Reasoning	Yes	Yes
JSON / Tool use	Yes	Yes
Structured outputs	Yes	Yes
Code execution	Yes	No
IDE integration	No	No
Computer use	No	No
Parallel agents	No	No

Benchmarks

Benchmark	GPT-5.5	Trinity-Large-Thinking
Google-Proof Q&A	93.6	89.2

Continue comparing

Model pages

Labs and families

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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.

Both models

GPT-5.5 Trinity-Large-Thinking