Claude Haiku 3.5 vs Llama-3.3-70B-Instruct vs Llama 4 Scout 17B Instruct
Llama 4 Scout 17B Instruct comes out ahead, 58 to 49 and 41 on our weighted score, and it is the cheaper option too.
AnthropicClaude Haiku 3.5
49/100- ECI127.2
- Price—
- Context200K
MetaLlama-3.3-70B-Instruct
41/100- ECI127.3
- Price$0.59 / $0.724
- Context128K
- Our pickMeta
Llama 4 Scout 17B Instruct
58/100- ECI129.7
- Price$0.225 / $0.69
- Context10M
Llama 4 Scout 17B Instruct is our pick
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 58/100 against Claude Haiku 3.5 (49) and Llama-3.3-70B-Instruct (41). It leads on capability and context window. Claude Haiku 3.5 wins on inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityLlama 4 Scout 17B InstructCapabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 · Llama-3.3-70B-Instruct 127.3 · Claude Haiku 3.5 127.2
- Lowest priceLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct $0.341 · Llama-3.3-70B-Instruct $0.624 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
- Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Claude Haiku 3.5 200,000 · Llama-3.3-70B-Instruct 128,000 tokens
- Widest inputsClaude Haiku 3.5Claude Haiku 3.5: Text, Images, PDFs · Llama-3.3-70B-Instruct: Text · Llama 4 Scout 17B Instruct: Text, Images
- Self-hostingLlama-3.3-70B-Instruct and Llama 4 Scout 17B InstructPublishes downloadable weights
| Measure | Weight | Claude Haiku 3.5 | Llama-3.3-70B-Instruct | Llama 4 Scout 17B Instruct |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 49 | 49 | 52 |
| Inputs & features | 20% | 60 | 25 | 50 |
| Context window | 13% | 32 | 24 | 100 |
| Overall | 100% | 49/100 | 41/100 | 58/100 |
Left out because at least one model lacks the data: price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Claude Haiku 3.5Anthropic | Llama-3.3-70B-InstructMeta | Llama 4 Scout 17B InstructMeta |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.2 | 127.3 | 129.7 (best) |
| ECI rank | #134 of 148 | #133 of 148 | #126 of 148 (best) |
| GPQA DiamondGraduate-level science questions | 38.1% | 47.4% | 51.8% (best) |
| OTIS Mock AIME 2024–2025Competition mathematics | 4.3% | 5.1% | 7.8% (best) |
| Price per million tokens | |||
| Input | — | $0.59 | $0.225 (best) |
| Output | — | $0.724 | $0.69 (best) |
| Cached input | — | — | — |
| Blended (3:1) | — | $0.624 | $0.341 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 21 providers | Median of 4 providers |
| Limits | |||
| Context window | 200,000 tokens | 128,000 tokens | 10,000,000 tokens (best) |
| Max output | 8,192 tokens | 4,096 tokens | 16,384 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | No | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | — | llama-3.3-70b-instruct | — |
| API providers | — | 24 (best) | 4 |
| Released | Oct 22, 2024 | Dec 6, 2024 | Apr 5, 2025 |
| Knowledge cutoff | Jul 31, 2024 | 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.
- Claude Haiku 3.5—
- Llama-3.3-70B-Instruct$7.35
- Llama 4 Scout 17B Instruct$3.63
Which should you choose?
Which is better: Claude Haiku 3.5, Llama-3.3-70B-Instruct or Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B Instruct is the better all-round choice, scoring 58/100 against Claude Haiku 3.5 (49) and Llama-3.3-70B-Instruct (41). It leads on capability and context window. Claude Haiku 3.5 wins on inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Claude Haiku 3.5, Llama-3.3-70B-Instruct or Llama 4 Scout 17B Instruct?
Llama 4 Scout 17B Instruct is cheaper at $0.225 input / $0.69 output per million tokens (median across 4 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 $0.341 per million tokens for Llama 4 Scout 17B Instruct versus $0.624 for Llama-3.3-70B-Instruct (1.8× as much). Claude Haiku 3.5 has no published per-token price.
Which scores higher on benchmarks?
Llama 4 Scout 17B Instruct scores higher on the Capabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 (#126 of 148), Llama-3.3-70B-Instruct 127.3 (#133 of 148) and Claude Haiku 3.5 127.2 (#134 of 148). The confidence ranges of the top two overlap (124.8–131.4 vs 122.5–129.5), so treat the gap as small. On individual benchmarks: GPQA Diamond — Llama 4 Scout 17B Instruct 51.8%, Llama-3.3-70B-Instruct 47.4%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Llama 4 Scout 17B Instruct 7.8%, Llama-3.3-70B-Instruct 5.1%, Claude Haiku 3.5 4.3%.
Which is better for coding?
There are no published SWE-bench Verified results for Claude Haiku 3.5, Llama-3.3-70B-Instruct and Llama 4 Scout 17B Instruct yet, so there is no like-for-like coding score. On overall capability, Llama 4 Scout 17B Instruct leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.
Which has the bigger context window?
Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 200,000 for Claude Haiku 3.5 and 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Claude Haiku 3.5 up to 8,192, Llama-3.3-70B-Instruct up to 4,096, Llama 4 Scout 17B Instruct up to 16,384 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3.5 accepts text, images and PDFs; Llama-3.3-70B-Instruct accepts text; Llama 4 Scout 17B Instruct accepts text and images. Claude Haiku 3.5 handles the widest range of inputs.
Are any of these open source?
Llama-3.3-70B-Instruct and Llama 4 Scout 17B Instruct publishes its weights and can be self-hosted; Claude Haiku 3.5 is proprietary.
Which is newer?
Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. Llama-3.3-70B-Instruct came out Dec 6, 2024; Claude Haiku 3.5 came out Oct 22, 2024. Knowledge cutoff: Claude Haiku 3.5 Jul 31, 2024, Llama-3.3-70B-Instruct Dec 2023, Llama 4 Scout 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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