Nova Pro vs Llama-3.3-70B-Instruct
Too close to call on our weighted score (Nova Pro 48, Llama-3.3-70B-Instruct 46). The right pick depends on what you value most.
AmazonNova Pro
48/100- ECI123.8
- Price$0.80 / $3.20
- Context300K
MetaLlama-3.3-70B-Instruct
46/100- ECI127.3
- Price$0.59 / $0.724
- Context128K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Nova Pro 48/100, Llama-3.3-70B-Instruct 46/100), so choose by what matters most for your work: Llama-3.3-70B-Instruct for raw capability and Nova Pro for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityLlama-3.3-70B-InstructCapabilities Index (ECI): Llama-3.3-70B-Instruct 127.3 · Nova Pro 123.8
- Lowest priceLlama-3.3-70B-InstructLlama-3.3-70B-Instruct $0.624 · Nova Pro $1.40 per 1M tokens (3:1 blend)
- Longest contextNova ProNova Pro 300,000 · Llama-3.3-70B-Instruct 128,000 tokens
- Widest inputsNova ProNova Pro: Text, Images, PDFs, Video · Llama-3.3-70B-Instruct: Text
- Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
| Measure | Weight | Nova Pro | Llama-3.3-70B-Instruct |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 45 | 49 |
| Price | 25% | 43 | 60 |
| Inputs & features | 15% | 70 | 25 |
| Context window | 10% | 39 | 24 |
| Overall | 100% | 48/100 | 46/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Nova ProAmazon | Llama-3.3-70B-InstructMeta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 123.8 | 127.3 (best) |
| ECI rank | #137 of 148 | #133 of 148 (best) |
| GPQA DiamondGraduate-level science questions | — | 47.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | — | 5.1% |
| Price per million tokens | ||
| Input | $0.80 | $0.59 (best) |
| Output | $3.20 | $0.724 (best) |
| Cached input | $0.20 | — |
| Blended (3:1) | $1.40 | $0.624 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Official Amazon Bedrock API | Median of 21 providers |
| Limits | ||
| Context window | 300,000 tokens (best) | 128,000 tokens |
| Max output | 10,000 tokens (best) | 4,096 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | Yes | No |
| PDFs | Yes | No |
| Audio | No | No |
| Video | Yes | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | amazon.nova-pro-v1:0 | llama-3.3-70b-instruct |
| API providers | 3 | 24 (best) |
| Released | Dec 3, 2024 | Dec 6, 2024 |
| Knowledge cutoff | Oct 2024 | 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.
- Nova Pro$14.40
- Llama-3.3-70B-Instruct$7.35
Which should you choose?
Which is better: Nova Pro or Llama-3.3-70B-Instruct?
It is close. Our weighted score puts them within 2 points (Nova Pro 48/100, Llama-3.3-70B-Instruct 46/100), so choose by what matters most for your work: Llama-3.3-70B-Instruct for raw capability and Nova Pro for long inputs. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Nova Pro or Llama-3.3-70B-Instruct?
Llama-3.3-70B-Instruct is cheaper at $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). Nova Pro costs $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price). At a typical mix of three input tokens to one output token, that is $0.624 per million tokens for Llama-3.3-70B-Instruct versus $1.40 for Nova Pro (2.2× as much).
Which scores higher on benchmarks?
Llama-3.3-70B-Instruct scores higher on the Capabilities Index (ECI): Llama-3.3-70B-Instruct 127.3 (#133 of 148) and Nova Pro 123.8 (#137 of 148). The confidence ranges of the top two overlap (122.5–129.5 vs 108.8–126.6), so treat the gap as small.
Which is better for coding?
There are no published SWE-bench Verified results for Nova Pro and Llama-3.3-70B-Instruct yet, so there is no like-for-like coding score. On overall capability, Llama-3.3-70B-Instruct leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.
Which has the bigger context window?
Nova Pro has the largest context window at 300,000 tokens, against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Nova Pro up to 10,000, Llama-3.3-70B-Instruct up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Nova Pro accepts text, images, PDFs and video; Llama-3.3-70B-Instruct accepts text. Nova Pro handles the widest range of inputs.
Are any of these open source?
Llama-3.3-70B-Instruct publishes its weights and can be self-hosted; Nova Pro is proprietary.
Which is newer?
Llama-3.3-70B-Instruct is the newest, released Dec 6, 2024. Nova Pro came out Dec 3, 2024. Knowledge cutoff: Nova Pro Oct 2024, Llama-3.3-70B-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 Oct 4, 2026.
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