Claude Haiku 4.5 (latest) vs Llama 4 Maverick 17B Instruct
Side-by-side comparison across metrics, pricing, and overall score — every value traced to a source.
Verdict: Claude Haiku 4.5 (latest) ranks highest overall (#9) with a score of 32.8.
The best choice still depends on which metrics matter for your workload — per-metric winners are marked below.
What the numbers hide
Computed from the published values below — no estimates, no generated claims.
Fragile verdict
The overall winner flips to Llama 4 Maverick 17B Instruct if Context Window is weighted at 40% (it counts for 18% today). If context window drives your decision, the ranking above may not be your ranking.
Real tradeoff
Claude Haiku 4.5 (latest) clearly beats Llama 4 Maverick 17B Instruct on Max Output Tokens but clearly loses on Context Window — this pair is a priorities question, not a quality question.
What nobody reports
Input Price (1 of 2 missing) · Output Price (1 of 2 missing) · Cache Read Price (1 of 2 missing) — the questions worth asking vendors directly.
AI hot take
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| Metric | Claude Haiku 4.5 (latest)Anthropic | Llama 4 Maverick 17B InstructMeta |
|---|---|---|
| Overall OptiSift Score | 32.8#9 | 21.1#16 |
| Input Price | $1 | — |
| Output Price | $5 | — |
| Cache Read Price | $0.1 | — |
| Context Window | 200K | 1M |
| Max Output Tokens | 64K | 16K |
| SWE-Bench Pro Score | 39.45% | 5.24% |
| Tool Calling | Yes | Yes |
| Extended Reasoning | Yes | No |
| Tokens per Wh (efficiency) | — | 7,435 |
About these models
#9Claude Haiku 4.5 (latest)
Anthropic
Claude Haiku 4.5 (latest) is Anthropic's reasoning-capable model: $1/$5 per 1M input/output tokens, 200K token context window, 39.45% on SWE-Bench Pro.
#16Llama 4 Maverick 17B Instruct
Meta
Llama 4 Maverick 17B Instruct is Meta's general-purpose model: 1M token context window, 5.24% on SWE-Bench Pro.