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Comparison · 3 models · Updated Oct 4, 2026

Nemotron 3 Super 120B A12B vs DeepSeek OCR 2 vs Mercury 2

Too close to call on our weighted score (Nemotron 3 Super 120B A12B 54, Mercury 2 53, DeepSeek OCR 2 32). The right pick depends on what you value most.

  1. NVIDIA

    Nemotron 3 Super 120B A12B

    Released Mar 11, 2026

    54/100
    • ECI—
    • Price$0.20 / $0.80
    • Context262K
  2. DeepSeek

    DeepSeek OCR 2

    Released Jan 27, 2026

    32/100
    • ECI—
    • Price$0.89 / $1.47
    • Context8K
  3. Inception

    Mercury 2

    Released Feb 24, 2026

    53/100
    • ECI—
    • Price$0.25 / $0.75
    • Context128K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Nemotron 3 Super 120B A12B 54/100, Mercury 2 53/100, DeepSeek OCR 2 32/100), so choose by what matters most for your work: Nemotron 3 Super 120B A12B on price and Nemotron 3 Super 120B A12B for long inputs. 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 Super 120B A12BNemotron 3 Super 120B A12B $0.35 · Mercury 2 $0.375 · DeepSeek OCR 2 $1.03 per 1M tokens (3:1 blend)
  • Longest contextNemotron 3 Super 120B A12BNemotron 3 Super 120B A12B 262,144 · Mercury 2 128,000 · DeepSeek OCR 2 8,192 tokens
  • Widest inputsDeepSeek OCR 2Nemotron 3 Super 120B A12B: Text · DeepSeek OCR 2: Text, Images · Mercury 2: Text
  • Self-hostingNemotron 3 Super 120B A12B and DeepSeek OCR 2Publishes downloadable weights
How the score is built
MeasureWeightNemotron 3 Super 120B A12BDeepSeek OCR 2Mercury 2
Price50%724970
Inputs & features30%352545
Context window20%37024
Overall100%54/10032/10053/100

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 Super 120B A12B vs DeepSeek OCR 2 vs Mercury 2 specifications side by side
SpecificationNemotron 3 Super 120B A12BNVIDIADeepSeek OCR 2DeepSeekMercury 2Inception
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.20 (best)$0.89$0.25
Output$0.80$1.47$0.75 (best)
Cached input——$0.025
Blended (3:1)$0.35 (best)$1.03$0.375
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Nvidia APIMedian of 1 providersOfficial Inception API
Limits
Context window262,144 tokens (best)8,192 tokens128,000 tokens
Max output262,144 tokens (best)8,192 tokens50,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesNoYeslow · medium · high
Tool callingYesNoYes
Structured outputNoNoYes
Availability
WeightsOpenOpenProprietary
API model IDnvidia/nemotron-3-super-120b-a12b—mercury-2
API providers19 (best)21
ReleasedMar 11, 2026Jan 27, 2026Feb 24, 2026
Knowledge cutoff——Jan 1, 2025
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 Super 120B A12B$3.60
  • DeepSeek OCR 2$11.83
  • Mercury 2$4.00
04 — Questions

Which should you choose?

Which is better: Nemotron 3 Super 120B A12B, DeepSeek OCR 2 or Mercury 2?

It is close. Our weighted score puts them within a point (Nemotron 3 Super 120B A12B 54/100, Mercury 2 53/100, DeepSeek OCR 2 32/100), so choose by what matters most for your work: Nemotron 3 Super 120B A12B on price and Nemotron 3 Super 120B A12B for long inputs. 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 Super 120B A12B, DeepSeek OCR 2 or Mercury 2?

Nemotron 3 Super 120B A12B is cheaper at $0.20 input / $0.80 output per million tokens (official Nvidia API price). Mercury 2 costs $0.25 input / $0.75 output per million tokens (official Inception API price); DeepSeek OCR 2 costs $0.89 input / $1.47 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.35 per million tokens for Nemotron 3 Super 120B A12B versus $0.375 for Mercury 2 (1.1× as much) and $1.03 for DeepSeek OCR 2 (3× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Nemotron 3 Super 120B A12B has not been scored yet, DeepSeek OCR 2 has not been scored yet and Mercury 2 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron 3 Super 120B A12B, DeepSeek OCR 2 and Mercury 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that DeepSeek OCR 2 does not support tool calling, which most coding agents need.

Which has the bigger context window?

Nemotron 3 Super 120B A12B has the largest context window at 262,144 tokens, against 128,000 for Mercury 2 and 8,192 for DeepSeek OCR 2. Maximum output per response: Nemotron 3 Super 120B A12B up to 262,144, DeepSeek OCR 2 up to 8,192, Mercury 2 up to 50,000 tokens.

Which can read images, PDFs, audio or video?

Nemotron 3 Super 120B A12B accepts text; DeepSeek OCR 2 accepts text and images; Mercury 2 accepts text. DeepSeek OCR 2 handles the widest range of inputs.

Are any of these open source?

Nemotron 3 Super 120B A12B and DeepSeek OCR 2 publishes its weights and can be self-hosted; Mercury 2 is proprietary.

Which is newer?

Nemotron 3 Super 120B A12B is the newest, released Mar 11, 2026. Mercury 2 came out Feb 24, 2026; DeepSeek OCR 2 came out Jan 27, 2026. Knowledge cutoff: Mercury 2 Jan 1, 2025.

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.