Model comparison
Gemma 3 27B vs GPT-4.1 nano
Head-to-head evidence from 16 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 3 27B #164 (Supported); GPT-4.1 nano #161 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 3 27B and GPT-4.1 nano share 16 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Gemma 3 27B; 5 to GPT-4.1 nano.
Updated July 23, 2026- Shared results
- 16
- Gemma 3 27B only
- 0
- GPT-4.1 nano only
- 5
- Comparable categories
- 0 / 8
Benchmark data for Gemma 3 27B and GPT-4.1 nano is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 16 shared benchmark results across 6 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.
GPT-4.1 nano is priced at $0.10 input / $0.40 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Gemma 3 27B. GPT-4.1 nano has the larger context window at 1M, compared with 32K for Gemma 3 27B.
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 3 27B | Δ | GPT-4.1 nano |
|---|---|---|---|
| Knowledge | Gemma 3 27BNot measured | MarginNo overlap | GPT-4.1 nano50.3 |
| Math | Gemma 3 27BNot measured | MarginNo overlap | GPT-4.1 nano1.0 |
| Inst. Following | Gemma 3 27BNot measured | MarginNo overlap | GPT-4.1 nano83.2 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 3 27B | GPT-4.1 nano | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 3 27B$0 input / $0 output | GPT-4.1 nano$0.1 input / $0.4 output | Gemma 3 27B has the lower combined listed price. |
| Generation speedtokens per second | Gemma 3 27B31 tok/s | GPT-4.1 nano181 tok/s | GPT-4.1 nano has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemma 3 27B2.04 s | GPT-4.1 nano0.63 s | GPT-4.1 nano reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemma 3 27B32K | GPT-4.1 nano1M | GPT-4.1 nano lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge8 benchmarks
| Benchmark | Gemma 3 27B | GPT-4.1 nano | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 7.4% | 9.6% | GPT-4.1 nano leads |
| AA-GPQA DiamondSource | 42.8% | 51.2% | GPT-4.1 nano leads |
| AA-HLESource | 4.7% | 3.9% | Gemma 3 27B leads |
| AA-Omniscience IndexSource | -65.9% | -56.4% | GPT-4.1 nano leads |
| AA-Omniscience AccuracySource | 12.5% | 13.3% | GPT-4.1 nano leads |
| AA-Omniscience Hallucination RateSource | 89.5% | 80.4% | GPT-4.1 nano leads |
| MMLUSource | — | 80.1% | Not comparable |
| GPQASource | — | 50.3% | Not comparable |
Math1 benchmarks
| Benchmark | Gemma 3 27B | GPT-4.1 nano | Result |
|---|---|---|---|
| FrontierMath v2 (Tiers 1-3)Source | — | 1.034% | Not comparable |
Multimodal2 benchmarks
Frequently Asked Questions (3)
Can I compare Gemma 3 27B and GPT-4.1 nano 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 Gemma 3 27B and GPT-4.1 nano today?
Gemma 3 27B: $0.00 input / $0.00 output per 1M tokens GPT-4.1 nano: $0.10 input / $0.40 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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