ZMIME
Comparison · 2 models · Updated Nov 2, 2026

Nemotron 3.5 Super 120B A12B vs GPT-5.6 Sol

Nemotron 3.5 Super 120B A12B comes out ahead, 59 to 39 on our weighted score, and it is the cheaper option too.

  1. Our pick

    NVIDIA

    Nemotron 3.5 Super 120B A12B

    Released Oct 15, 2026New

    59/100
    • ECI—
    • Price$0.20 / $0.50
    • Context1.05M
    Full specs Remove Nemotron 3.5 Super 120B A12B

  2. OpenAI

    GPT-5.6 Sol

    Released Jul 9, 2026

    39/100
    • ECI162.6
    • Price$4.00 / $20.00
    • Context1.05M
    Full specs Remove GPT-5.6 Sol

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Nemotron 3.5 Super 120B A12B is our pick

Nemotron 3.5 Super 120B A12B is the better all-round choice, scoring 59/100 against GPT-5.6 Sol (39). It leads on price. GPT-5.6 Sol wins on inputs & features. 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 priceNemotron 3.5 Super 120B A12BNemotron 3.5 Super 120B A12B $0.275 · GPT-5.6 Sol $8.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameGPT-5.6 Sol 1,050,000 · Nemotron 3.5 Super 120B A12B 1,048,576 tokens
  • Widest inputsGPT-5.6 SolNemotron 3.5 Super 120B A12B: Text · GPT-5.6 Sol: Text, Images, PDFs
  • Self-hostingNemotron 3.5 Super 120B A12BPublishes downloadable weights
How the score is built
MeasureWeightNemotron 3.5 Super 120B A12BGPT-5.6 Sol
Price50%737
Inputs & features30%3580
Context window20%6161
Overall100%59/10039/100

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.

Nemotron 3.5 Super 120B A12B vs GPT-5.6 Sol specifications side by side
SpecificationNemotron 3.5 Super 120B A12BNVIDIAGPT-5.6 SolOpenAI
Capability
Capabilities Index (ECI)—162.6
ECI rank—#12 of 165
GPQA DiamondGraduate-level science questions—93.5%
FrontierMath Tiers 1–3Research-level mathematics—89.1%
OTIS Mock AIME 2024–2025Competition mathematics—100%
SimpleQA VerifiedShort factual questions—69.7%
Price per million tokens
Input$0.20 (best)$4.00
Output$0.50 (best)$20.00
Cached input—$0.40
Blended (3:1)$0.275 (best)$8.00
Long-context rateSame rateOver 272K: $8.00 / $30.00
Price sourceMedian of 1 providersOfficial OpenAI API
Limits
Context window1,048,576 tokens1,050,000 tokens (best)
Max output131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoNo
VideoNoNo
ReasoningYesYeslow · medium · high · xhigh · max
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model ID—gpt-5.6-sol
API providers149 (best)
ReleasedOct 15, 2026Jul 9, 2026
Knowledge cutoff—Feb 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.

  • Nemotron 3.5 Super 120B A12B$3.00
  • GPT-5.6 Sol$80.00
04 — Questions

Which should you choose?

Which is better: Nemotron 3.5 Super 120B A12B or GPT-5.6 Sol?

Nemotron 3.5 Super 120B A12B is the better all-round choice, scoring 59/100 against GPT-5.6 Sol (39). It leads on price. GPT-5.6 Sol wins on inputs & features. 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, Nemotron 3.5 Super 120B A12B or GPT-5.6 Sol?

Nemotron 3.5 Super 120B A12B is cheaper at $0.20 input / $0.50 output per million tokens (median across 1 API provider). 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 $0.275 per million tokens for Nemotron 3.5 Super 120B A12B versus $8.00 for GPT-5.6 Sol (29× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Nemotron 3.5 Super 120B A12B has not been scored yet and GPT-5.6 Sol has an ECI of 162.6.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron 3.5 Super 120B A12B and GPT-5.6 Sol 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?

Their context windows are effectively the same size: Nemotron 3.5 Super 120B A12B 1,048,576 and GPT-5.6 Sol 1,050,000 tokens. Maximum output per response: Nemotron 3.5 Super 120B A12B up to 131,072, GPT-5.6 Sol up to 128,000 tokens.

Which can read images, PDFs, audio or video?

Nemotron 3.5 Super 120B A12B accepts text; GPT-5.6 Sol accepts text, images and PDFs. GPT-5.6 Sol handles the widest range of inputs.

Are any of these open source?

Nemotron 3.5 Super 120B A12B publishes its weights and can be self-hosted; GPT-5.6 Sol is proprietary.

Which is newer?

Nemotron 3.5 Super 120B A12B is the newest, released Oct 15, 2026. GPT-5.6 Sol came out Jul 9, 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 Nov 2, 2026.

05 — Keep comparing

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