ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GPT-5.6 Sol vs Trinity Large Thinking

Trinity Large Thinking comes out ahead, 55 to 40 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    40/100
    • ECI161.8
    • Price$4.00 / $20.00
    • Context1.05M
    Full specs Remove GPT-5.6 Sol
  2. Our pick

    Arcee AI

    Trinity Large Thinking

    Released Apr 1, 2026Beta

    55/100
    • ECI—
    • Price$0.25 / $0.80
    • Context524K
    Full specs Remove Trinity Large Thinking

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Trinity Large Thinking is our pick

Trinity Large Thinking is the better all-round choice, scoring 55/100 against GPT-5.6 Sol (40). It leads on price. GPT-5.6 Sol wins on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceTrinity Large ThinkingTrinity Large Thinking $0.388 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-5.6 SolGPT-5.6 Sol 1,050,000 · Trinity Large Thinking 524,288 tokens
  • Widest inputsGPT-5.6 SolGPT-5.6 Sol: Text, Images, PDFs · Trinity Large Thinking: Text
  • Self-hostingTrinity Large ThinkingPublishes downloadable weights (OpenMDW-1.1)
How the score is built
MeasureWeightGPT-5.6 SolTrinity Large Thinking
Price50%769
Inputs & features30%8035
Context window20%6149
Overall100%40/10055/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

GPT-5.6 Sol vs Trinity Large Thinking specifications side by side
SpecificationGPT-5.6 SolOpenAITrinity Large ThinkingArcee AI
Capability
Capabilities Index (ECI)161.8—
ECI rank#8 of 148—
GPQA DiamondGraduate-level science questions93.5%—
FrontierMath Tiers 1–3Research-level mathematics89.1%—
OTIS Mock AIME 2024–2025Competition mathematics100%—
SimpleQA VerifiedShort factual questions69.7%—
Price per million tokens
Input$4.00$0.25 (best)
Output$20.00$0.80 (best)
Cached input$0.40$0.06 (best)
Blended (3:1)$8.00$0.388 (best)
Long-context rateOver 272K: $8.00 / $30.00Same rate
Price sourceOfficial OpenAI APIOfficial Arcee API
Limits
Context window1,050,000 tokens (best)524,288 tokens
Max output128,000 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsYesNo
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · high · xhigh · maxYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpenOpenMDW-1.1
API model IDgpt-5.6-soltrinity-large-thinking
API providers40 (best)6
ReleasedJul 9, 2026Apr 1, 2026
Knowledge cutoffFeb 16, 2026—
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • GPT-5.6 Sol$80.00
  • Trinity Large Thinking$4.10
04 — Questions

Which should you choose?

Which is better: GPT-5.6 Sol or Trinity Large Thinking?

Trinity Large Thinking is the better all-round choice, scoring 55/100 against GPT-5.6 Sol (40). It leads on price. GPT-5.6 Sol wins on inputs & features and context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, GPT-5.6 Sol or Trinity Large Thinking?

Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee API price). GPT-5.6 Sol costs $4.00 input / $20.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $0.388 per million tokens for Trinity Large Thinking versus $8.00 for GPT-5.6 Sol (21× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. GPT-5.6 Sol has an ECI of 161.8 and Trinity Large Thinking has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GPT-5.6 Sol and Trinity Large Thinking yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

GPT-5.6 Sol has the largest context window at 1,050,000 tokens, against 524,288 for Trinity Large Thinking. Maximum output per response: GPT-5.6 Sol up to 128,000, Trinity Large Thinking up to 262,144 tokens.

Which can read images, PDFs, audio or video?

GPT-5.6 Sol accepts text, images and PDFs; Trinity Large Thinking accepts text. GPT-5.6 Sol handles the widest range of inputs.

Are any of these open source?

Trinity Large Thinking publishes its weights (OpenMDW-1.1) and can be self-hosted; GPT-5.6 Sol is proprietary.

Which is newer?

GPT-5.6 Sol is the newest, released Jul 9, 2026. Trinity Large Thinking came out Apr 1, 2026. Knowledge cutoff: GPT-5.6 Sol Feb 16, 2026.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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