Llama 3.1 Nemotron 70B Instruct vs Llama-3.2-11B-Vision-Instruct vs Qwen-MT Turbo
Llama-3.2-11B-Vision-Instruct comes out ahead, 58 to 45 and 40 on our weighted score, though Qwen-MT Turbo is 12% cheaper per token.
NVIDIALlama 3.1 Nemotron 70B Instruct
45/100- ECI—
- Price$0.478 / $0.504
- Context128K
- Our pick
MetaLlama-3.2-11B-Vision-Instruct
58/100- ECI—
- Price$0.197 / $0.51
- Context128K
Alibaba (Qwen)Qwen-MT Turbo
40/100- ECI—
- Price$0.16 / $0.49
- Context16K
Llama-3.2-11B-Vision-Instruct is our pick
Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 58/100 against Llama 3.1 Nemotron 70B Instruct (45) and Qwen-MT Turbo (40). It leads on inputs & features. Qwen-MT Turbo 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 priceQwen-MT TurboQwen-MT Turbo $0.242 · Llama-3.2-11B-Vision-Instruct $0.275 · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
- Longest contextLlama 3.1 Nemotron 70B Instruct and Llama-3.2-11B-Vision-InstructLlama 3.1 Nemotron 70B Instruct 128,000 · Llama-3.2-11B-Vision-Instruct 128,000 · Qwen-MT Turbo 16,384 tokens
- Widest inputsLlama-3.2-11B-Vision-InstructLlama 3.1 Nemotron 70B Instruct: Text · Llama-3.2-11B-Vision-Instruct: Text, Images · Qwen-MT Turbo: Text
- Self-hostingLlama 3.1 Nemotron 70B Instruct and Llama-3.2-11B-Vision-InstructPublishes downloadable weights
| Measure | Weight | Llama 3.1 Nemotron 70B Instruct | Llama-3.2-11B-Vision-Instruct | Qwen-MT Turbo |
|---|---|---|---|---|
| Price | 50% | 65 | 76 | 79 |
| Inputs & features | 30% | 25 | 50 | 0 |
| Context window | 20% | 24 | 24 | 0 |
| Overall | 100% | 45/100 | 58/100 | 40/100 |
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 | Llama 3.1 Nemotron 70B InstructNVIDIA | Llama-3.2-11B-Vision-InstructMeta | Qwen-MT TurboAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.478 | $0.197 | $0.16 (best) |
| Output | $0.504 | $0.51 | $0.49 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.485 | $0.275 | $0.242 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 2 providers | Median of 2 providers | Official Alibaba API |
| Limits | |||
| Context window | 128,000 tokens (best) | 128,000 tokens (best) | 16,384 tokens |
| Max output | 8,192 tokens (best) | 4,096 tokens | 8,192 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | No |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Proprietary |
| API model ID | nvidia/llama-3.1-nemotron-70b-instruct | — | qwen-mt-turbo |
| API providers | 3 (best) | 2 | 1 |
| Released | Apr 15, 2025 | Sep 25, 2024 | Jan 2025 |
| Knowledge cutoff | — | Dec 2023 | Apr 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama 3.1 Nemotron 70B Instruct$5.79
- Llama-3.2-11B-Vision-Instruct$2.99
- Qwen-MT Turbo$2.58
Which should you choose?
Which is better: Llama 3.1 Nemotron 70B Instruct, Llama-3.2-11B-Vision-Instruct or Qwen-MT Turbo?
Llama-3.2-11B-Vision-Instruct is the better all-round choice, scoring 58/100 against Llama 3.1 Nemotron 70B Instruct (45) and Qwen-MT Turbo (40). It leads on inputs & features. Qwen-MT Turbo 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, Llama 3.1 Nemotron 70B Instruct, Llama-3.2-11B-Vision-Instruct or Qwen-MT Turbo?
Qwen-MT Turbo is cheaper at $0.16 input / $0.49 output per million tokens (official Alibaba API price). Llama-3.2-11B-Vision-Instruct costs $0.197 input / $0.51 output per million tokens (median across 2 API providers); Llama 3.1 Nemotron 70B Instruct costs $0.478 input / $0.504 output per million tokens (median across 2 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.242 per million tokens for Qwen-MT Turbo versus $0.275 for Llama-3.2-11B-Vision-Instruct (1.1× as much) and $0.485 for Llama 3.1 Nemotron 70B Instruct (2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Llama 3.1 Nemotron 70B Instruct has not been scored yet, Llama-3.2-11B-Vision-Instruct has not been scored yet and Qwen-MT Turbo has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Llama 3.1 Nemotron 70B Instruct, Llama-3.2-11B-Vision-Instruct and Qwen-MT Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Qwen-MT Turbo does not support tool calling, which most coding agents need.
Which has the bigger context window?
Llama 3.1 Nemotron 70B Instruct and Llama-3.2-11B-Vision-Instruct have the largest context windows (128,000 and 128,000 tokens), against 16,384 for Qwen-MT Turbo. Maximum output per response: Llama 3.1 Nemotron 70B Instruct up to 8,192, Llama-3.2-11B-Vision-Instruct up to 4,096, Qwen-MT Turbo up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Llama 3.1 Nemotron 70B Instruct accepts text; Llama-3.2-11B-Vision-Instruct accepts text and images; Qwen-MT Turbo accepts text. Llama-3.2-11B-Vision-Instruct handles the widest range of inputs.
Are any of these open source?
Llama 3.1 Nemotron 70B Instruct and Llama-3.2-11B-Vision-Instruct publishes its weights and can be self-hosted; Qwen-MT Turbo is proprietary.
Which is newer?
Llama 3.1 Nemotron 70B Instruct is the newest, released Apr 15, 2025. Qwen-MT Turbo came out Jan 2025; Llama-3.2-11B-Vision-Instruct came out Sep 25, 2024. Knowledge cutoff: Llama-3.2-11B-Vision-Instruct Dec 2023, Qwen-MT Turbo Apr 2024.
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.
Related comparisons
- Llama 3.1 Nemotron 70B Instruct vs Qwen3-VL 30B-A3BAlibaba (Qwen)
- Llama 3.1 Nemotron 70B Instruct vs GLM-4.5-AirZ.ai (Zhipu)
- Llama 3.1 Nemotron 70B Instruct vs Seed 1.6 VisionByteDance Seed
- Llama 3.1 Nemotron 70B Instruct vs Gemma-SEA-LION-v4-27B-ITAI Singapore
- Llama-3.2-11B-Vision-Instruct vs Command RCohere
- Llama-3.2-11B-Vision-Instruct vs Pixtral 12BMistral AI
