Llama-3.3-70B-Instruct vs Llama 4 Maverick 17B Instruct
Llama 4 Maverick 17B Instruct comes out ahead, 58 to 46 on our weighted score, and it is the cheaper option too.
MetaLlama-3.3-70B-Instruct
46/100- ECI127.3
- Price$0.59 / $0.724
- Context128K
- Our pickMeta
Llama 4 Maverick 17B Instruct
58/100- ECI132.2
- Price$0.321 / $0.91
- Context1M
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Llama 4 Maverick 17B Instruct is our pick
Llama 4 Maverick 17B Instruct is the better all-round choice, scoring 58/100 against Llama-3.3-70B-Instruct (46). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
- CapabilityLlama 4 Maverick 17B InstructCapabilities Index (ECI): Llama 4 Maverick 17B Instruct 132.2 · Llama-3.3-70B-Instruct 127.3
- Lowest priceLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct $0.468 · Llama-3.3-70B-Instruct $0.624 per 1M tokens (3:1 blend)
- Longest contextLlama 4 Maverick 17B InstructLlama 4 Maverick 17B Instruct 1,000,000 · Llama-3.3-70B-Instruct 128,000 tokens
- Widest inputsLlama 4 Maverick 17B InstructLlama-3.3-70B-Instruct: Text · Llama 4 Maverick 17B Instruct: Text, Images
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Llama-3.3-70B-Instruct | Llama 4 Maverick 17B Instruct |
|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 50% | 49 | 56 |
| Price | 25% | 60 | 66 |
| Inputs & features | 15% | 25 | 50 |
| Context window | 10% | 24 | 60 |
| Overall | 100% | 46/100 | 58/100 |
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Llama-3.3-70B-InstructMeta | Llama 4 Maverick 17B InstructMeta |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | 127.3 | 132.2 (best) |
| ECI rank | #133 of 148 | #122 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 47.4% | 67.0% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 5.1% | 20.6% (best) |
| Price per million tokens | ||
| Input | $0.59 | $0.321 (best) |
| Output | $0.724 (best) | $0.91 |
| Cached input | — | — |
| Blended (3:1) | $0.624 | $0.468 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 21 providers | Median of 6 providers |
| Limits | ||
| Context window | 128,000 tokens | 1,000,000 tokens (best) |
| Max output | 4,096 tokens | 16,384 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | Yes |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | No |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Open |
| API model ID | llama-3.3-70b-instruct | — |
| API providers | 24 (best) | 6 |
| Released | Dec 6, 2024 | Apr 5, 2025 |
| Knowledge cutoff | Dec 2023 | Aug 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-3.3-70B-Instruct$7.35
- Llama 4 Maverick 17B Instruct$5.03
Which should you choose?
Which is better: Llama-3.3-70B-Instruct or Llama 4 Maverick 17B Instruct?
Llama 4 Maverick 17B Instruct is the better all-round choice, scoring 58/100 against Llama-3.3-70B-Instruct (46). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.
Which is cheaper, Llama-3.3-70B-Instruct or Llama 4 Maverick 17B Instruct?
Llama 4 Maverick 17B Instruct is cheaper at $0.321 input / $0.91 output per million tokens (median across 6 API providers). Llama-3.3-70B-Instruct costs $0.59 input / $0.724 output per million tokens (median across 21 API providers; free on Llama). At a typical mix of three input tokens to one output token, that is $0.468 per million tokens for Llama 4 Maverick 17B Instruct versus $0.624 for Llama-3.3-70B-Instruct (1.3× as much).
Which scores higher on benchmarks?
Llama 4 Maverick 17B Instruct scores higher on the Capabilities Index (ECI): Llama 4 Maverick 17B Instruct 132.2 (#122 of 148) and Llama-3.3-70B-Instruct 127.3 (#133 of 148). The confidence ranges of the top two overlap (128.0–134.1 vs 122.5–129.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama 4 Maverick 17B Instruct 67.0%, Llama-3.3-70B-Instruct 47.4%; OTIS Mock AIME 2024–2025 — Llama 4 Maverick 17B Instruct 20.6%, Llama-3.3-70B-Instruct 5.1%.
Which is better for coding?
There are no published SWE-bench Verified results for Llama-3.3-70B-Instruct and Llama 4 Maverick 17B Instruct yet, so there is no like-for-like coding score. On overall capability, Llama 4 Maverick 17B 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?
Llama 4 Maverick 17B Instruct has the largest context window at 1,000,000 tokens, against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Llama-3.3-70B-Instruct up to 4,096, Llama 4 Maverick 17B Instruct up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Llama-3.3-70B-Instruct accepts text; Llama 4 Maverick 17B Instruct accepts text and images. Llama 4 Maverick 17B Instruct handles the widest range of inputs.
Are any of these open source?
Yes, both publish their weights, so you can self-host them.
Which is newer?
Llama 4 Maverick 17B Instruct is the newest, released Apr 5, 2025. Llama-3.3-70B-Instruct came out Dec 6, 2024. Knowledge cutoff: Llama-3.3-70B-Instruct Dec 2023, Llama 4 Maverick 17B Instruct Aug 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.
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