Claude Haiku 3.5 vs Claude Haiku 4.5 vs Llama-3.3-70B-Instruct
Claude Haiku 4.5 comes out ahead, 66 to 49 and 41 on our weighted score, though Llama-3.3-70B-Instruct is 3.2× cheaper per token.
Anthropic
Claude Haiku 3.5
49/100- ECI127.2
- Price—
- Context200K
- Our pick
Anthropic
Claude Haiku 4.5
66/100- ECI142.4
- Price$1.00 / $5.00
- Context200K
Meta
Llama-3.3-70B-Instruct
41/100- ECI127.3
- Price$0.59 / $0.724
- Context128K
Claude Haiku 4.5 is our pick
Claude Haiku 4.5 is the better all-round choice, scoring 66/100 against Claude Haiku 3.5 (49) and Llama-3.3-70B-Instruct (41). It leads on capability and inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.
- CapabilityClaude Haiku 4.5Capabilities Index (ECI): Claude Haiku 4.5 142.4 · Llama-3.3-70B-Instruct 127.3 · Claude Haiku 3.5 127.2
- Lowest priceLlama-3.3-70B-InstructLlama-3.3-70B-Instruct $0.624 · Claude Haiku 4.5 $2.00 per 1M tokens (3:1 blend) · Claude Haiku 3.5 unpriced
- Longest contextClaude Haiku 3.5 and Claude Haiku 4.5Claude Haiku 3.5 200,000 · Claude Haiku 4.5 200,000 · Llama-3.3-70B-Instruct 128,000 tokens
- Widest inputsClaude Haiku 3.5 and Claude Haiku 4.5Claude Haiku 3.5: Text, Images, PDFs · Claude Haiku 4.5: Text, Images, PDFs · Llama-3.3-70B-Instruct: Text
- Self-hostingLlama-3.3-70B-InstructPublishes downloadable weights
| Measure | Weight | Claude Haiku 3.5 | Claude Haiku 4.5 | Llama-3.3-70B-Instruct |
|---|---|---|---|---|
| CapabilityCapabilities Index (ECI) | 67% | 49 | 69 | 49 |
| Inputs & features | 20% | 60 | 80 | 25 |
| Context window | 13% | 32 | 32 | 24 |
| Overall | 100% | 49/100 | 66/100 | 41/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | 127.2 | 142.4 (best) | 127.3 |
| ECI rank | #134 of 148 | #90 of 148 (best) | #133 of 148 |
| GPQA DiamondGraduate-level science questions | 38.1% | 71.2% (best) | 47.4% |
| OTIS Mock AIME 2024–2025Competition mathematics | 4.3% | 66.7% (best) | 5.1% |
| SimpleQA VerifiedShort factual questions | — | 13.2% | — |
| Price per million tokens | |||
| Input | — | $1.00 | $0.59 (best) |
| Output | — | $5.00 | $0.724 (best) |
| Cached input | — | $0.10 | — |
| Blended (3:1) | — | $2.00 | $0.624 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official Anthropic API | Median of 21 providers |
| Limits | |||
| Context window | 200,000 tokens (best) | 200,000 tokens (best) | 128,000 tokens |
| Max output | 8,192 tokens | 64,000 tokens (best) | 4,096 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | No |
| PDFs | Yes | Yes | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | No | Yes | No |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Proprietary | Proprietary | Open |
| API model ID | — | claude-haiku-4-5 | llama-3.3-70b-instruct |
| API providers | — | 34 (best) | 24 |
| Released | Oct 22, 2024 | Oct 15, 2025 | Dec 6, 2024 |
| Knowledge cutoff | Jul 31, 2024 | Feb 28, 2025 | 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.
Claude Haiku 3.5—
Claude Haiku 4.5$20.00
Llama-3.3-70B-Instruct$7.35
Which should you choose?
Which is better: Claude Haiku 3.5, Claude Haiku 4.5 or Llama-3.3-70B-Instruct?
Claude Haiku 4.5 is the better all-round choice, scoring 66/100 against Claude Haiku 3.5 (49) and Llama-3.3-70B-Instruct (41). It leads on capability and inputs & features. The score weighs capability 67%, inputs & features 20%, context window 13%.
Which is cheaper, Claude Haiku 3.5, Claude Haiku 4.5 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). Claude Haiku 4.5 costs $1.00 input / $5.00 output per million tokens (official Anthropic 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 $2.00 for Claude Haiku 4.5 (3.2× as much). Claude Haiku 3.5 has no published per-token price.
Which scores higher on benchmarks?
Claude Haiku 4.5 scores higher on the Capabilities Index (ECI): Claude Haiku 4.5 142.4 (#90 of 148), Llama-3.3-70B-Instruct 127.3 (#133 of 148) and Claude Haiku 3.5 127.2 (#134 of 148). Their confidence ranges do not overlap (139.5–144.3 vs 122.5–129.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Claude Haiku 4.5 71.2%, Llama-3.3-70B-Instruct 47.4%, Claude Haiku 3.5 38.1%; OTIS Mock AIME 2024–2025 — Claude Haiku 4.5 66.7%, 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, Claude Haiku 4.5 and Llama-3.3-70B-Instruct yet, so there is no like-for-like coding score. On overall capability, Claude Haiku 4.5 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?
Claude Haiku 3.5 and Claude Haiku 4.5 have the largest context windows (200,000 and 200,000 tokens), against 128,000 for Llama-3.3-70B-Instruct. Maximum output per response: Claude Haiku 3.5 up to 8,192, Claude Haiku 4.5 up to 64,000, Llama-3.3-70B-Instruct up to 4,096 tokens.
Which can read images, PDFs, audio or video?
Claude Haiku 3.5 accepts text, images and PDFs; Claude Haiku 4.5 accepts text, images and PDFs; Llama-3.3-70B-Instruct accepts text. Claude Haiku 3.5 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; Claude Haiku 3.5 and Claude Haiku 4.5 is proprietary.
Which is newer?
Claude Haiku 4.5 is the newest, released Oct 15, 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, Claude Haiku 4.5 Feb 28, 2025, 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.