Model comparison
Claude Haiku 4.5 vs Laguna S 2.1
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); Laguna S 2.1 unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 and Laguna S 2.1 share 0 comparable benchmark results. 1 of 8 categories are comparable. 5 results are unique to Claude Haiku 4.5; 6 to Laguna S 2.1.
Updated July 21, 2026- Shared results
- 0
- Claude Haiku 4.5 only
- 5
- Laguna S 2.1 only
- 6
- Comparable categories
- 1 / 8
Treat this as a split decision. Claude Haiku 4.5 makes more sense if coding is the priority or you would rather avoid the extra latency and token burn of a reasoning model; Laguna S 2.1 is the better fit if you want the cheaper token bill or you need the larger 1M context window.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Haiku 4.5 and Laguna S 2.1 finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Claude Haiku 4.5 is also the more expensive model on tokens at $1.00 input / $5.00 output per 1M tokens, versus $0.10 input / $0.20 output per 1M tokens for Laguna S 2.1. That is roughly 25.0x on output cost alone. Laguna S 2.1 is the reasoning model in the pair, while Claude Haiku 4.5 is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use. Laguna S 2.1 gives you the larger context window at 1M, compared with 200K for Claude Haiku 4.5.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 | Laguna S 2.1 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5$1 input / $5 output | Laguna S 2.1$0.1 input / $0.2 output | Laguna S 2.1 has the lower combined listed price. |
| Generation speedtokens per second | Claude Haiku 4.5Not available | Laguna S 2.1Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5Not available | Laguna S 2.1Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5200K | Laguna S 2.11M | Laguna S 2.1 lists the larger context window. |
Benchmark Deep Dive
Agentic3 benchmarks
CodingClaude Haiku 4.5 wins5 benchmarks
Math2 benchmarks
Multimodal1 benchmarks
| Benchmark | Claude Haiku 4.5 | Laguna S 2.1 | Result |
|---|---|---|---|
| Design Arena WebsiteSource | 1152 | — | Not comparable |
Frequently Asked Questions (2)
Which is better, Claude Haiku 4.5 or Laguna S 2.1?
Claude Haiku 4.5 and Laguna S 2.1 are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for coding, Claude Haiku 4.5 or Laguna S 2.1?
Claude Haiku 4.5 has the edge for coding in this comparison, averaging 73.3 versus 59.4. Laguna S 2.1 stays close enough that the answer can still flip depending on your workload.
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