Llama-3.1-70B-Instruct vs Nova Pro
Nova Pro comes out ahead, 48 to 44 on our weighted score, though Llama-3.1-70B-Instruct is 49% cheaper per token.
Meta
Llama-3.1-70B-Instruct
44/100- ECI125.9
- Price$0.72 / $0.72
- Context128K
- Our pick
Amazon
Nova Pro
48/100- ECI123.8
- Price$0.80 / $3.20
- Context300K
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Nova Pro is our pick
Nova Pro is the better all-round choice, scoring 48/100 against Llama-3.1-70B-Instruct (44). It leads on inputs & features and context window. Llama-3.1-70B-Instruct wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityLlama-3.1-70B-InstructCapabilities Index (ECI): Llama-3.1-70B-Instruct 125.9 · Nova Pro 123.8
- Lowest priceLlama-3.1-70B-InstructLlama-3.1-70B-Instruct $0.72 · Nova Pro $1.40 per 1M tokens (3:1 blend)
- Longest contextNova ProNova Pro 300,000 · Llama-3.1-70B-Instruct 128,000 tokens
- Widest inputsNova ProLlama-3.1-70B-Instruct: Text · Nova Pro: Text, Images, PDFs, Video
- Self-hostingLlama-3.1-70B-InstructPublishes downloadable weights
| Measure | Weight | Llama-3.1-70B-Instruct | Nova Pro |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 48 | 45 |
| Price | 25% | 57 | 43 |
| Inputs & features | 15% | 25 | 70 |
| Context window | 10% | 24 | 39 |
| Overall | 100% | 44/100 | 48/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | ||
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 125.9 (best) | 123.8 |
| ECI rank | #136 of 148 (best) | #137 of 148 |
| GPQA DiamondGraduate-level science questions | 44.2% | — |
| OTIS Mock AIME 2024–2025Competition mathematics | 3.6% | — |
| Price per million tokens | ||
| Input | $0.72 (best) | $0.80 |
| Output | $0.72 (best) | $3.20 |
| Cached input | — | $0.20 |
| Blended (3:1) | $0.72 (best) | $1.40 |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 5 providers | Official Amazon Bedrock API |
| Limits | ||
| Context window | 128,000 tokens | 300,000 tokens (best) |
| Max output | 4,096 tokens | 10,000 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | Yes |
| Audio | No | No |
| Video | No | Yes |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | — | amazon.nova-pro-v1:0 |
| API providers | 5 (best) | 3 |
| Released | Jul 23, 2024 | Dec 3, 2024 |
| Knowledge cutoff | Dec 2023 | Oct 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-3.1-70B-Instruct$8.64
Nova Pro$14.40
Which should you choose?
Which is better: Llama-3.1-70B-Instruct or Nova Pro?
Nova Pro is the better all-round choice, scoring 48/100 against Llama-3.1-70B-Instruct (44). It leads on inputs & features and context window. Llama-3.1-70B-Instruct wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Llama-3.1-70B-Instruct or Nova Pro?
Llama-3.1-70B-Instruct is cheaper at $0.72 input / $0.72 output per million tokens (median across 5 API providers). 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 $0.72 per million tokens for Llama-3.1-70B-Instruct versus $1.40 for Nova Pro (1.9× as much).
Which scores higher on benchmarks?
Llama-3.1-70B-Instruct scores higher on the Capabilities Index (ECI): Llama-3.1-70B-Instruct 125.9 (#136 of 148) and Nova Pro 123.8 (#137 of 148). The confidence ranges of the top two overlap (121.0–128.1 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 Llama-3.1-70B-Instruct and Nova Pro yet, so there is no like-for-like coding score. On overall capability, Llama-3.1-70B-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-3.1-70B-Instruct. Maximum output per response: Llama-3.1-70B-Instruct up to 4,096, Nova Pro up to 10,000 tokens.
Which can read images, PDFs, audio or video?
Llama-3.1-70B-Instruct accepts text; Nova Pro accepts text, images, PDFs and video. Nova Pro handles the widest range of inputs.
Are any of these open source?
Llama-3.1-70B-Instruct publishes its weights and can be self-hosted; Nova Pro is proprietary.
Which is newer?
Nova Pro is the newest, released Dec 3, 2024. Llama-3.1-70B-Instruct came out Jul 23, 2024. Knowledge cutoff: Llama-3.1-70B-Instruct Dec 2023, Nova Pro Oct 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.