Flint vs Nemotron 3.5 Super 120B A12B
Nemotron 3.5 Super 120B A12B comes out ahead, 45 to 36 on our weighted score, and it is the cheaper option too.
Recursive
Flint
36/100- ECI—
- Price—
- Context262K
- Our pick
NVIDIANemotron 3.5 Super 120B A12B
45/100- ECI—
- Price$0.20 / $0.50
- Context1.05M
Add a model
Make it a three-way comparison.
Nemotron 3.5 Super 120B A12B is our pick
Nemotron 3.5 Super 120B A12B is the better all-round choice, scoring 45/100 against Flint (36). It leads on context window. The score weighs inputs & features 60%, context window 40%. 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 per 1M tokens (3:1 blend) · Flint unpriced
- Longest contextNemotron 3.5 Super 120B A12BNemotron 3.5 Super 120B A12B 1,048,576 · Flint 262,144 tokens
- Widest inputsSame inputsFlint: Text · Nemotron 3.5 Super 120B A12B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Flint | Nemotron 3.5 Super 120B A12B |
|---|---|---|---|
| Inputs & features | 60% | 35 | 35 |
| Context window | 40% | 37 | 61 |
| Overall | 100% | 36/100 | 45/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | FlintRecursive | Nemotron 3.5 Super 120B A12BNVIDIA |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | — | $0.20 |
| Output | — | $0.50 |
| Cached input | — | — |
| Blended (3:1) | — | $0.275 |
| Long-context rate | — | Same rate |
| Price source | — | Median of 1 providers |
| Limits | ||
| Context window | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | OpenApache-2.0 | Open |
| API model ID | — | — |
| API providers | 1 | 1 |
| Released | Oct 21, 2026 | Oct 15, 2026 |
| Knowledge cutoff | Jun 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Flint—
- Nemotron 3.5 Super 120B A12B$3.00
Which should you choose?
Which is better: Flint or Nemotron 3.5 Super 120B A12B?
Nemotron 3.5 Super 120B A12B is the better all-round choice, scoring 45/100 against Flint (36). It leads on context window. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Flint or Nemotron 3.5 Super 120B A12B?
Nemotron 3.5 Super 120B A12B is cheaper at $0.20 input / $0.50 output per million tokens (median across 1 API provider). . 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 . Flint has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Flint has not been scored yet and Nemotron 3.5 Super 120B A12B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Flint and Nemotron 3.5 Super 120B A12B 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 has the largest context window at 1,048,576 tokens, against 262,144 for Flint. Maximum output per response: Flint up to 262,144, Nemotron 3.5 Super 120B A12B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Flint accepts text; Nemotron 3.5 Super 120B A12B accepts text. They handle the same number of input types.
Are any of these open source?
Yes, both publish their weights (Apache-2.0), so you can self-host them.
Which is newer?
Flint is the newest, released Oct 21, 2026. Nemotron 3.5 Super 120B A12B came out Oct 15, 2026. Knowledge cutoff: Flint Jun 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.
Related comparisons
- Add Kimi K3.1 ProThree-way comparison
- Flint vs Kimi K3.1 ProMoonshot AI
- Flint vs MiniMax-M3.1-FlashMiniMax
- Flint vs Mercury 3Inception
- Nemotron 3.5 Super 120B A12B vs MiniMax-M3.1-FlashMiniMax
- Nemotron 3.5 Super 120B A12B vs Kolibri 1Aleph Alpha
- Nemotron 3.5 Super 120B A12B vs Qwen3.8 Flash NextAlibaba (Qwen)
