Nemotron 3.5 Super 120B A12B vs Muse Spark 1.2
Too close to call on our weighted score (Nemotron 3.5 Super 120B A12B 59, Muse Spark 1.2 59). The right pick depends on what you value most.
NVIDIANemotron 3.5 Super 120B A12B
59/100- ECI—
- Price$0.20 / $0.50
- Context1.05M
MetaMuse Spark 1.2
59/100- ECI155.2
- Price$1.25 / $4.25
- Context1.05M
Add a model
Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within a point (Nemotron 3.5 Super 120B A12B 59/100, Muse Spark 1.2 59/100), so choose by what matters most for your work: Nemotron 3.5 Super 120B A12B on price. 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 · Muse Spark 1.2 $2.00 per 1M tokens (3:1 blend)
- Longest contextAbout the sameNemotron 3.5 Super 120B A12B 1,048,576 · Muse Spark 1.2 1,048,576 tokens
- Widest inputsMuse Spark 1.2Nemotron 3.5 Super 120B A12B: Text · Muse Spark 1.2: Text, Images, PDFs, Audio, Video
- Self-hostingNemotron 3.5 Super 120B A12BPublishes downloadable weights
| Measure | Weight | Nemotron 3.5 Super 120B A12B | Muse Spark 1.2 |
|---|---|---|---|
| Price | 50% | 73 | 34 |
| Inputs & features | 30% | 35 | 100 |
| Context window | 20% | 61 | 61 |
| Overall | 100% | 59/100 | 59/100 |
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 | Nemotron 3.5 Super 120B A12BNVIDIA | Muse Spark 1.2Meta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | 155.2 |
| ECI rank | — | #38 of 165 |
| SimpleQA VerifiedShort factual questions | — | 60.3% |
| Price per million tokens | ||
| Input | $0.20 (best) | $1.25 |
| Output | $0.50 (best) | $4.25 |
| Cached input | — | $0.15 |
| Blended (3:1) | $0.275 (best) | $2.00 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 1 providers | Official Meta API |
| Limits | ||
| Context window | 1,048,576 tokens | 1,048,576 tokens |
| Max output | 131,072 tokens | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | Yes |
| Video | No | Yes |
| Reasoning | Yes | Yesminimal · low · medium · high · xhigh |
| Tool calling | Yes | Yes |
| Structured output | No | Yes |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | muse-spark-1.2 |
| API providers | 1 | 18 (best) |
| Released | Oct 15, 2026 | Aug 5, 2026 |
| Knowledge cutoff | — | — |
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
- Muse Spark 1.2$21.00
Which should you choose?
Which is better: Nemotron 3.5 Super 120B A12B or Muse Spark 1.2?
It is close. Our weighted score puts them within a point (Nemotron 3.5 Super 120B A12B 59/100, Muse Spark 1.2 59/100), so choose by what matters most for your work: Nemotron 3.5 Super 120B A12B on price. 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 Muse Spark 1.2?
Nemotron 3.5 Super 120B A12B is cheaper at $0.20 input / $0.50 output per million tokens (median across 1 API provider). Muse Spark 1.2 costs $1.25 input / $4.25 output per million tokens (official Meta 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 $2.00 for Muse Spark 1.2 (7.3× 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 Muse Spark 1.2 has an ECI of 155.2.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3.5 Super 120B A12B and Muse Spark 1.2 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?
Nemotron 3.5 Super 120B A12B and Muse Spark 1.2 share the same 1,048,576-token context window. Maximum output per response: Nemotron 3.5 Super 120B A12B up to 131,072, Muse Spark 1.2 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3.5 Super 120B A12B accepts text; Muse Spark 1.2 accepts text, images, PDFs, audio and video. Muse Spark 1.2 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; Muse Spark 1.2 is proprietary.
Which is newer?
Nemotron 3.5 Super 120B A12B is the newest, released Oct 15, 2026. Muse Spark 1.2 came out Aug 5, 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.
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