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Model comparison

Claude Haiku 4.5 vs Gemma 3 27B

Data verified

Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.

No sourced benchmark result is currently shared by both models. This page therefore compares only the available metadata, pricing, and runtime rows; it does not name a quality winner.
56.58/100
Margin
15.0pts
← winning
41.57/100
0 category wins0 category wins

Public leaderboard positions: Claude Haiku 4.5 #77 (Estimated); Gemma 3 27B #164 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.

Evidence parity. Claude Haiku 4.5 and Gemma 3 27B share 0 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Claude Haiku 4.5; 16 to Gemma 3 27B.

Updated July 21, 2026
Shared results
0
Claude Haiku 4.5 only
5
Gemma 3 27B only
16
Comparable categories
0 / 8

Benchmark data for Claude Haiku 4.5 and Gemma 3 27B is coming soon on BenchLM.

Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.

Why this result

BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.

Claude Haiku 4.5 is priced at $1.00 input / $5.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 3 27B. Claude Haiku 4.5 has the larger context window at 200K, compared with 32K for Gemma 3 27B.

Operational comparison

Runtime and commercial metrics are compared only when both models have a complete sourced value.

MetricClaude Haiku 4.5Gemma 3 27BComparison
Input / output priceUSD per 1M tokensClaude Haiku 4.5$1 input / $5 outputGemma 3 27B$0 input / $0 outputGemma 3 27B has the lower combined listed price.
Generation speedtokens per secondClaude Haiku 4.5Not availableGemma 3 27B31 tok/sA complete speed comparison is not available.
First-answer latencyseconds to first tokenClaude Haiku 4.5Not availableGemma 3 27B2.04 sA complete latency comparison is not available.
Context windowmaximum listed tokensClaude Haiku 4.5200KGemma 3 27B32KClaude Haiku 4.5 lists the larger context window.

Benchmark Deep Dive

Agentic
BenchmarkClaude Haiku 4.5Gemma 3 27BResult
JobBenchSource 16.0%Not comparable
AA Agentic IndexSource 0.3%Not comparable
τ²-bench resultsSource 10.5%Not comparable
GDPval-AASource 0.0%Not comparable
GDPval-AASource -144Not comparable
Coding
BenchmarkClaude Haiku 4.5Gemma 3 27BResult
SWE-bench VerifiedSource 73.3%Not comparable
AA Coding IndexSource 10.1%Not comparable
AA-SciCodeSource 21.2%Not comparable
Reasoning
BenchmarkClaude Haiku 4.5Gemma 3 27BResult
AA-LCRSource 5.7%Not comparable
CritPtSource 0.0%Not comparable
Knowledge
BenchmarkClaude Haiku 4.5Gemma 3 27BResult
Artificial Analysis Intelligence IndexSource 7.4%Not comparable
AA-GPQA DiamondSource 42.8%Not comparable
AA-HLESource 4.7%Not comparable
AA-Omniscience IndexSource -65.9%Not comparable
AA-Omniscience AccuracySource 12.5%Not comparable
AA-Omniscience Hallucination RateSource 89.5%Not comparable
Math
BenchmarkClaude Haiku 4.5Gemma 3 27BResult
FrontierMath v2 (Tiers 1-3)Source 5.903%Not comparable
FrontierMath v2 (Tier 4)Source 2.083%Not comparable
Multimodal
BenchmarkClaude Haiku 4.5Gemma 3 27BResult
Design Arena WebsiteSource 1152Not comparable
AA-MMMU-ProSource 48.0%Not comparable
Inst. Following
BenchmarkClaude Haiku 4.5Gemma 3 27BResult
AA-IFBenchSource 31.8%Not comparable
Frequently Asked Questions (3)

Can I compare Claude Haiku 4.5 and Gemma 3 27B on BenchLM yet?

Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.

Why does this comparison show “coming soon”?

BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.

What data is available for Claude Haiku 4.5 and Gemma 3 27B today?

Claude Haiku 4.5: $1.00 input / $5.00 output per 1M tokens Gemma 3 27B: $0.00 input / $0.00 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.

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Last updated: July 21, 2026

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