DeepSeek OCR 2 vs Mercury 2 vs Nemotron 3 Super 120B A12B
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.
DeepSeekDeepSeek OCR 2
32/100- ECI—
- Price$0.89 / $1.47
- Context8K
InceptionMercury 2
53/100- ECI—
- Price$0.25 / $0.75
- Context128K
NVIDIANemotron 3 Super 120B A12B
54/100- ECI—
- Price$0.20 / $0.80
- Context262K
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 2DeepSeek OCR 2: Text, Images · Mercury 2: Text · Nemotron 3 Super 120B A12B: Text
- Self-hostingDeepSeek OCR 2 and Nemotron 3 Super 120B A12BPublishes downloadable weights
| Measure | Weight | DeepSeek OCR 2 | Mercury 2 | Nemotron 3 Super 120B A12B |
|---|---|---|---|---|
| Price | 50% | 49 | 70 | 72 |
| Inputs & features | 30% | 25 | 45 | 35 |
| Context window | 20% | 0 | 24 | 37 |
| Overall | 100% | 32/100 | 53/100 | 54/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | DeepSeek OCR 2DeepSeek | Mercury 2Inception | Nemotron 3 Super 120B A12BNVIDIA |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.89 | $0.25 | $0.20 (best) |
| Output | $1.47 | $0.75 (best) | $0.80 |
| Cached input | — | $0.025 | — |
| Blended (3:1) | $1.03 | $0.375 | $0.35 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Inception API | Official Nvidia API |
| Limits | |||
| Context window | 8,192 tokens | 128,000 tokens | 262,144 tokens (best) |
| Max output | 8,192 tokens | 50,000 tokens | 262,144 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yeslow · medium · high | Yes |
| Tool calling | No | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | — | mercury-2 | nvidia/nemotron-3-super-120b-a12b |
| API providers | 2 | 1 | 19 (best) |
| Released | Jan 27, 2026 | Feb 24, 2026 | Mar 11, 2026 |
| Knowledge cutoff | — | Jan 1, 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- DeepSeek OCR 2$11.83
- Mercury 2$4.00
- Nemotron 3 Super 120B A12B$3.60
Which should you choose?
Which is better: DeepSeek OCR 2, Mercury 2 or Nemotron 3 Super 120B A12B?
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, DeepSeek OCR 2, Mercury 2 or Nemotron 3 Super 120B A12B?
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. DeepSeek OCR 2 has not been scored yet, Mercury 2 has not been scored yet and Nemotron 3 Super 120B A12B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for DeepSeek OCR 2, Mercury 2 and Nemotron 3 Super 120B A12B 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: DeepSeek OCR 2 up to 8,192, Mercury 2 up to 50,000, Nemotron 3 Super 120B A12B up to 262,144 tokens.
Which can read images, PDFs, audio or video?
DeepSeek OCR 2 accepts text and images; Mercury 2 accepts text; Nemotron 3 Super 120B A12B accepts text. DeepSeek OCR 2 handles the widest range of inputs.
Are any of these open source?
DeepSeek OCR 2 and Nemotron 3 Super 120B A12B 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.
