Model comparison
Gemma 3 27B vs Llama 3.1 405B
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Gemma 3 27B #164 (Supported); Llama 3.1 405B #102 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Gemma 3 27B and Llama 3.1 405B share 11 comparable benchmark results. 0 of 8 categories are comparable. 5 results are unique to Gemma 3 27B; 0 to Llama 3.1 405B.
Updated July 20, 2026- Shared results
- 11
- Gemma 3 27B only
- 5
- Llama 3.1 405B only
- 0
- Comparable categories
- 0 / 8
Benchmark data for Gemma 3 27B and Llama 3.1 405B is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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.
Llama 3.1 405B has the larger context window at 128K, 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.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Gemma 3 27B | Llama 3.1 405B | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Gemma 3 27B$0 input / $0 output | Llama 3.1 405B$0 input / $0 output | Listed prices are equal. |
| Generation speedtokens per second | Gemma 3 27B31 tok/s | Llama 3.1 405B29 tok/s | Gemma 3 27B has the higher measured throughput. |
| First-answer latencyseconds to first token | Gemma 3 27B2.04 s | Llama 3.1 405B2.19 s | Gemma 3 27B reaches the first token sooner. |
| Context windowmaximum listed tokens | Gemma 3 27B32K | Llama 3.1 405B128K | Llama 3.1 405B lists the larger context window. |
Benchmark Deep Dive
Agentic4 benchmarks
Coding2 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | Gemma 3 27B | Llama 3.1 405B | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 7.4% | 8.5% | Llama 3.1 405B leads |
| AA-GPQA DiamondSource | 42.8% | 51.5% | Llama 3.1 405B leads |
| AA-HLESource | 4.7% | 4.2% | Gemma 3 27B leads |
| AA-Omniscience IndexSource | -65.9% | -17.3% | Llama 3.1 405B leads |
| AA-Omniscience AccuracySource | 12.5% | 22.3% | Llama 3.1 405B leads |
| AA-Omniscience Hallucination RateSource | 89.5% | 51.0% | Llama 3.1 405B leads |
Multimodal1 benchmarks
| Benchmark | Gemma 3 27B | Llama 3.1 405B | Result |
|---|---|---|---|
| AA-MMMU-ProSource | 48.0% | — | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Gemma 3 27B | Llama 3.1 405B | Result |
|---|---|---|---|
| AA-IFBenchSource | 31.8% | 39.0% | Llama 3.1 405B leads |
Frequently Asked Questions (3)
Can I compare Gemma 3 27B and Llama 3.1 405B 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 Llama 3.1 405B today?
Gemma 3 27B: $0.00 input / $0.00 output per 1M tokens Llama 3.1 405B: $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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