Gemini 2.0 Flash-Lite vs Hermes 3 70B Instruct vs Llama-3.2-11B-Vision-Instruct
Gemini 2.0 Flash-Lite comes out ahead, 82 to 64 and 32 on our weighted score, and it is the cheaper option too.
- Our pick
Google
Gemini 2.0 Flash-Lite
82/100- ECI—
- Price$0.064 / $0.255
- Context1.05M
Nous Research
Hermes 3 70B Instruct
32/100- ECI—
- Price$0.70 / $0.70
- Context131K
Meta
Llama-3.2-11B-Vision-Instruct
64/100- ECI—
- Price$0.055 / $0.345
- Context128K
Gemini 2.0 Flash-Lite is our pick
Gemini 2.0 Flash-Lite is the better all-round choice, scoring 82/100 against Llama-3.2-11B-Vision-Instruct (64) and Hermes 3 70B Instruct (32). It leads on price, inputs & features and context window. 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 priceGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite $0.111 · Llama-3.2-11B-Vision-Instruct $0.128 · Hermes 3 70B Instruct $0.70 per 1M tokens (3:1 blend)
- Longest contextGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite 1,048,576 · Hermes 3 70B Instruct 131,072 · Llama-3.2-11B-Vision-Instruct 128,000 tokens
- Widest inputsGemini 2.0 Flash-LiteGemini 2.0 Flash-Lite: Text, Images, PDFs, Audio, Video · Hermes 3 70B Instruct: Text · Llama-3.2-11B-Vision-Instruct: Text, Images
- Self-hostingHermes 3 70B Instruct and Llama-3.2-11B-Vision-InstructPublishes downloadable weights
| Measure | Weight | Gemini 2.0 Flash-Lite | Hermes 3 70B Instruct | Llama-3.2-11B-Vision-Instruct |
|---|---|---|---|---|
| Price | 50% | 91 | 55 | 88 |
| Inputs & features | 30% | 80 | 0 | 50 |
| Context window | 20% | 61 | 25 | 24 |
| Overall | 100% | 82/100 | 32/100 | 64/100 |
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) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.064 | $0.70 | $0.055 (best) |
| Output | $0.255 (best) | $0.70 | $0.345 |
| Cached input | — | — | — |
| Blended (3:1) | $0.111 (best) | $0.70 | $0.128 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 5 providers | Median of 3 providers |
| Limits | |||
| Context window | 1,048,576 tokens (best) | 131,072 tokens | 128,000 tokens |
| Max output | 8,192 tokens | 16,384 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | Yes | No | No |
| Video | Yes | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | No | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | — | — |
| API providers | 3 | 5 (best) | 4 |
| Released | Dec 11, 2024 | Aug 18, 2024 | Sep 25, 2024 |
| Knowledge cutoff | Jun 2024 | Dec 31, 2023 | Dec 2023 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
Gemini 2.0 Flash-Lite$1.15
Hermes 3 70B Instruct$8.40
Llama-3.2-11B-Vision-Instruct$1.24
Which should you choose?
Which is better: Gemini 2.0 Flash-Lite, Hermes 3 70B Instruct or Llama-3.2-11B-Vision-Instruct?
Gemini 2.0 Flash-Lite is the better all-round choice, scoring 82/100 against Llama-3.2-11B-Vision-Instruct (64) and Hermes 3 70B Instruct (32). It leads on price, inputs & features and context window. 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 2.0 Flash-Lite, Hermes 3 70B Instruct or Llama-3.2-11B-Vision-Instruct?
Gemini 2.0 Flash-Lite is cheaper at $0.064 input / $0.255 output per million tokens (median across 2 API providers). Llama-3.2-11B-Vision-Instruct costs $0.055 input / $0.345 output per million tokens (median across 3 API providers); Hermes 3 70B Instruct costs $0.70 input / $0.70 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $0.111 per million tokens for Gemini 2.0 Flash-Lite versus $0.128 for Llama-3.2-11B-Vision-Instruct (1.1× as much) and $0.70 for Hermes 3 70B Instruct (6.3× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Gemini 2.0 Flash-Lite has not been scored yet, Hermes 3 70B Instruct has not been scored yet and Llama-3.2-11B-Vision-Instruct has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Gemini 2.0 Flash-Lite, Hermes 3 70B Instruct and Llama-3.2-11B-Vision-Instruct yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Hermes 3 70B Instruct does not support tool calling, which most coding agents need.
Which has the bigger context window?
Gemini 2.0 Flash-Lite has the largest context window at 1,048,576 tokens, against 131,072 for Hermes 3 70B Instruct and 128,000 for Llama-3.2-11B-Vision-Instruct. Maximum output per response: Gemini 2.0 Flash-Lite up to 8,192, Hermes 3 70B Instruct up to 16,384, Llama-3.2-11B-Vision-Instruct up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Gemini 2.0 Flash-Lite accepts text, images, PDFs, audio and video; Hermes 3 70B Instruct accepts text; Llama-3.2-11B-Vision-Instruct accepts text and images. Gemini 2.0 Flash-Lite handles the widest range of inputs.
Are any of these open source?
Hermes 3 70B Instruct and Llama-3.2-11B-Vision-Instruct publishes its weights and can be self-hosted; Gemini 2.0 Flash-Lite is proprietary.
Which is newer?
Gemini 2.0 Flash-Lite is the newest, released Dec 11, 2024. Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024; Hermes 3 70B Instruct came out Aug 18, 2024. Knowledge cutoff: Gemini 2.0 Flash-Lite Jun 2024, Hermes 3 70B Instruct Dec 31, 2023, Llama-3.2-11B-Vision-Instruct Dec 2023.
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.