Model comparison
Gemma 4 E2B vs GPT-5.5
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 4 E2B #162 (Estimated); GPT-5.5 #9 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 4 E2B and GPT-5.5 share 13 comparable benchmark results. 1 of 8 categories are comparable. 1 result is unique to Gemma 4 E2B; 44 to GPT-5.5.
Updated July 22, 2026- Shared results
- 13
- Gemma 4 E2B only
- 1
- GPT-5.5 only
- 44
- Comparable categories
- 1 / 8
Pick GPT-5.5 if you want the stronger benchmark profile. Gemma 4 E2B only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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
GPT-5.5 is clearly ahead on the BenchAlign aggregate, 73.51 to 41.82. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.5's sharpest advantage is in knowledge, where it averages 57.8 against 56.9. The single biggest benchmark swing on the page is GPQA, 43.4% to 93.6%.
GPT-5.5 is also the more expensive model on tokens at $5.00 input / $30.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 4 E2B. That is roughly Infinityx on output cost alone. GPT-5.5 gives you the larger context window at 1M, compared with 128K for Gemma 4 E2B.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Gemma 4 E2B | Δ | GPT-5.5 |
|---|---|---|---|
| Knowledge | Gemma 4 E2B56.9 | Margin→ 0.9 | GPT-5.557.8 |
| Agentic | Gemma 4 E2BNot measured | MarginNo overlap | GPT-5.581.6 |
| Coding | Gemma 4 E2BNot measured | MarginNo overlap | GPT-5.558.6 |
| Reasoning | Gemma 4 E2BNot measured | MarginNo overlap | GPT-5.585.0 |
| Math | Gemma 4 E2BNot measured | MarginNo overlap | GPT-5.547.6 |
| Multimodal | Gemma 4 E2BNot measured | MarginNo overlap | GPT-5.570.4 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
GPQA
KnowledgeA 43.4%B 93.6%Winner: GPT-5.5Δ 50.2GPQA: Gemma 4 E2B scored 43.4%; GPT-5.5 scored 93.6%. GPT-5.5 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 4 E2B | GPT-5.5 | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 4 E2B$0 input / $0 output | GPT-5.5$5 input / $30 output | Gemma 4 E2B has the lower combined listed price. |
| Generation speedtokens per second | Gemma 4 E2BNot available | GPT-5.5Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Gemma 4 E2BNot available | GPT-5.5Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Gemma 4 E2B128K | GPT-5.51M | GPT-5.5 lists the larger context window. |
Benchmark Deep Dive
Agentic24 benchmarks
| Benchmark | Gemma 4 E2B | GPT-5.5 | Result |
|---|---|---|---|
| τ²-bench resultsSource | 20.8% | 93.9% | GPT-5.5 leads |
| Terminal-Bench 2.0Source | — | 82% | Not comparable |
| CyberGymSource | — | 81.8% | Not comparable |
| BrowseCompSource | — | 84.4% | Not comparable |
| OSWorld-VerifiedSource | — | 78.7% | Not comparable |
| MCP AtlasSource | — | 75.3% | Not comparable |
| ToolathlonSource | — | 55.6% | Not comparable |
| AA Agentic IndexSource | — | 44.9% | Not comparable |
| APEX-Agents-AASource | — | 37.7% | Not comparable |
| GDPval-AASource | — | 49.5% | Not comparable |
| GDPval-AASource | — | 1490 | Not comparable |
| Gert LabsSource | — | 72.93% | Not comparable |
| ResearchClawBenchSource | — | 17.0% | Not comparable |
| OSWorld 2.0Source | — | 13.0% | Not comparable |
| JobBenchSource | — | 42.7% | Not comparable |
| ExploitGymSource | — | 13.4% | Not comparable |
| AA BriefcaseSource | — | 1154 | Not comparable |
| AA AutomationBenchSource | — | 42.1% | Not comparable |
| AA EnterpriseOps-GymSource | — | 46.6% | Not comparable |
| AA Harvey LABSource | — | 86.3% | Not comparable |
| AA ITBenchSource | — | 45.8% | Not comparable |
| AA Tau3 BankingSource | — | 31.3% | Not comparable |
| terminalBenchHardSource | — | 60.6% | Not comparable |
| aaTerminalBench21Source | — | 84.3% | Not comparable |
Coding9 benchmarks
| Benchmark | Gemma 4 E2B | GPT-5.5 | Result |
|---|---|---|---|
| AA-SciCodeSource | 20.9% | 56.1% | GPT-5.5 leads |
| SWE-bench ProSource | — | 58.6% | Not comparable |
| Terminal-Bench 2.0Source | — | 82.0% | Not comparable |
| Vibe Code BenchSource | — | 69.85% | Not comparable |
| React Native EvalsSource | — | 84.7% | Not comparable |
| cursorBench31Source | — | 59.2% | Not comparable |
| cursorBench32Source | — | 58.4% | Not comparable |
| AA Coding IndexSource | — | 74.9% | Not comparable |
| FrontierCode 1.1 MainSource | — | 43.0% | Not comparable |
Reasoning5 benchmarks
KnowledgeGPT-5.5 wins11 benchmarks
| Benchmark | Gemma 4 E2B | GPT-5.5 | Result |
|---|---|---|---|
| GPQASource | 43.4% | 93.6% | GPT-5.5 leads |
| MMLU-ProSource | 60% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 9.3% | 54.8% | GPT-5.5 leads |
| AA-GPQA DiamondSource | 37.5% | 93.5% | GPT-5.5 leads |
| AA-HLESource | 4.8% | 44.3% | GPT-5.5 leads |
| AA-Omniscience IndexSource | -24.0% | 20.1% | GPT-5.5 leads |
| AA-Omniscience AccuracySource | 6.7% | 56.9% | GPT-5.5 leads |
| AA-Omniscience Hallucination RateSource | 32.9% | 85.5% | Gemma 4 E2B leads |
| GPQA-DSource | — | 93.6% | Not comparable |
| HLESource | — | 52.2% | Not comparable |
| HLE w/o toolsSource | — | 41.4% | Not comparable |
Math3 benchmarks
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Gemma 4 E2B | GPT-5.5 | Result |
|---|---|---|---|
| AA-IFBenchSource | 35.1% | 75.9% | GPT-5.5 leads |
Frequently Asked Questions (2)
Which is better, Gemma 4 E2B or GPT-5.5?
GPT-5.5 is ahead on BenchLM's BenchAlign leaderboard, 73.51 to 41.82. The biggest single separator in this matchup is GPQA, where the scores are 43.4% and 93.6%.
Which is better for knowledge tasks, Gemma 4 E2B or GPT-5.5?
GPT-5.5 has the edge for knowledge tasks in this comparison, averaging 57.8 versus 56.9. Inside this category, AA-GPQA Diamond is the benchmark that creates the most daylight between them.
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