Model comparison
Claude Haiku 4.5 Thinking vs Gemma 4 E2B
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 Thinking unranked (Not scored); Gemma 4 E2B #162 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Haiku 4.5 Thinking and Gemma 4 E2B share 0 comparable benchmark results. 0 of 8 categories are comparable. 2 results are unique to Claude Haiku 4.5 Thinking; 14 to Gemma 4 E2B.
Updated July 23, 2026- Shared results
- 0
- Claude Haiku 4.5 Thinking only
- 2
- Gemma 4 E2B only
- 14
- Comparable categories
- 0 / 8
Benchmark data for Claude Haiku 4.5 Thinking and Gemma 4 E2B 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 Thinking has the larger context window at 200K, compared with 128K for Gemma 4 E2B.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Haiku 4.5 Thinking | Gemma 4 E2B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Haiku 4.5 ThinkingNot available | Gemma 4 E2B$0 input / $0 output | A complete price comparison is not available. |
| Generation speedtokens per second | Claude Haiku 4.5 ThinkingNot available | Gemma 4 E2BNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Haiku 4.5 ThinkingNot available | Gemma 4 E2BNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Haiku 4.5 Thinking200K | Gemma 4 E2B128K | Claude Haiku 4.5 Thinking lists the larger context window. |
Benchmark Deep Dive
Agentic1 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Gemma 4 E2B | Result |
|---|---|---|---|
| τ²-bench resultsSource | — | 20.8% | Not comparable |
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Gemma 4 E2B | Result |
|---|---|---|---|
| GPQASource | — | 43.4% | Not comparable |
| MMLU-ProSource | — | 60% | Not comparable |
| Artificial Analysis Intelligence IndexSource | — | 9.3% | Not comparable |
| AA-GPQA DiamondSource | — | 37.5% | Not comparable |
| AA-HLESource | — | 4.8% | Not comparable |
| AA-Omniscience IndexSource | — | -24.0% | Not comparable |
| AA-Omniscience AccuracySource | — | 6.7% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 32.9% | Not comparable |
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Haiku 4.5 Thinking | Gemma 4 E2B | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 35.1% | Not comparable |
Frequently Asked Questions (3)
Can I compare Claude Haiku 4.5 Thinking and Gemma 4 E2B 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 Thinking and Gemma 4 E2B today?
Gemma 4 E2B: $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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