Gemini 2.5 Flash-Lite vs Llama 3.1 Nemotron Ultra 253B
Gemini 2.5 Flash-Lite comes out ahead, 85 to 65 on our weighted score.
- Our pick
Google
Gemini 2.5 Flash-Lite
85/100- ECI133.9
- Price$0.10 / $0.40
- Context1.05M
NVIDIA
Llama 3.1 Nemotron Ultra 253B
65/100- ECI—
- PriceFree / Free
- Context128K
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Make it a three-way comparison.
Gemini 2.5 Flash-Lite is our pick
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 85/100 against Llama 3.1 Nemotron Ultra 253B (65). It leads on inputs & features and context window. Llama 3.1 Nemotron Ultra 253B wins 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 priceLlama 3.1 Nemotron Ultra 253BLlama 3.1 Nemotron Ultra 253B Free · Gemini 2.5 Flash-Lite $0.175 per 1M tokens (3:1 blend)
- Longest contextGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite 1,048,576 · Llama 3.1 Nemotron Ultra 253B 128,000 tokens
- Widest inputsGemini 2.5 Flash-LiteGemini 2.5 Flash-Lite: Text, Images, PDFs, Audio, Video · Llama 3.1 Nemotron Ultra 253B: Text
- Self-hostingLlama 3.1 Nemotron Ultra 253BPublishes downloadable weights
| Measure | Weight | Gemini 2.5 Flash-Lite | Llama 3.1 Nemotron Ultra 253B |
|---|---|---|---|
| Price | 50% | 86 | 100 |
| Inputs & features | 30% | 100 | 35 |
| Context window | 20% | 61 | 24 |
| Overall | 100% | 85/100 | 65/100 |
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 | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 133.9 | — |
| ECI rank | #118 of 148 | — |
| Price per million tokens | ||
| Input | $0.10 | Free (best) |
| Output | $0.40 | Free (best) |
| Cached input | $0.01 | — |
| Blended (3:1) | $0.175 | Free (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Google API | Official Nvidia API |
| Limits | ||
| Context window | 1,048,576 tokens (best) | 128,000 tokens |
| Max output | 65,536 tokens (best) | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | Yes | No |
| Video | Yes | No |
| Reasoning | Yes | Yes |
| Tool calling | Yes | Yes |
| Structured output | Yes | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | gemini-2.5-flash-lite | nvidia/llama-3.1-nemotron-ultra-253b-v1 |
| API providers | 20 (best) | 1 |
| Released | Jun 17, 2025 | Apr 7, 2025 |
| Knowledge cutoff | Jan 2025 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini 2.5 Flash-Lite$1.80
Llama 3.1 Nemotron Ultra 253BFree
Which should you choose?
Which is better: Gemini 2.5 Flash-Lite or Llama 3.1 Nemotron Ultra 253B?
Gemini 2.5 Flash-Lite is the better all-round choice, scoring 85/100 against Llama 3.1 Nemotron Ultra 253B (65). It leads on inputs & features and context window. Llama 3.1 Nemotron Ultra 253B wins 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, Gemini 2.5 Flash-Lite or Llama 3.1 Nemotron Ultra 253B?
Llama 3.1 Nemotron Ultra 253B is cheaper at Free input / Free output per million tokens (official Nvidia API price). Gemini 2.5 Flash-Lite costs $0.10 input / $0.40 output per million tokens (official Google API price). Llama 3.1 Nemotron Ultra 253B is listed as free.
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Gemini 2.5 Flash-Lite has an ECI of 133.9 and Llama 3.1 Nemotron Ultra 253B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.5 Flash-Lite and Llama 3.1 Nemotron Ultra 253B 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?
Gemini 2.5 Flash-Lite has the largest context window at 1,048,576 tokens, against 128,000 for Llama 3.1 Nemotron Ultra 253B. Maximum output per response: Gemini 2.5 Flash-Lite up to 65,536, Llama 3.1 Nemotron Ultra 253B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.5 Flash-Lite accepts text, images, PDFs, audio and video; Llama 3.1 Nemotron Ultra 253B accepts text. Gemini 2.5 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Llama 3.1 Nemotron Ultra 253B publishes its weights and can be self-hosted; Gemini 2.5 Flash-Lite is proprietary.
Which is newer?
Gemini 2.5 Flash-Lite is the newest, released Jun 17, 2025. Llama 3.1 Nemotron Ultra 253B came out Apr 7, 2025. Knowledge cutoff: Gemini 2.5 Flash-Lite Jan 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.