Model comparison
Gemma 3 27B vs Qwen3-Next 80B-A3B Instruct
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 30.8 on the Noometry Index. Gemma 3 27B costs 8.8× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.
Last verified . 20 shared benchmarks.
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Alibaba (Qwen)Summary
- They share 20 benchmarks with published results for both. Gemma 3 27B scores higher in 0 categories and Qwen3-Next 80B-A3B Instruct in 8 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Qwen3-Next 80B-A3B Instruct leads 42.5 to 22.5.
- The biggest single-benchmark swing is Kagi LLM Benchmark: 40.4% for Gemma 3 27B and 66.7% for Qwen3-Next 80B-A3B Instruct.
- Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $0.50 / $2 for Qwen3-Next 80B-A3B Instruct.
Side by side
| Gemma 3 27B | Qwen3-Next 80B-A3B Instruct | |
|---|---|---|
| Provider | Alibaba (Qwen) | |
| Noometry Index | 30.8 | 43.0 |
| Released | 2025-03-11 | 2025-09 |
| Weights | Open | Open |
| Context window | 131K | 131K |
| Max output | 8K | 33K |
| Input $ / M tokens | $0.08 | $0.50 |
| Output $ / M tokens | $0.16 | $2 |
| Results tracked | 43 | 25 |
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Category by category
Coding Qwen3-Next 80B-A3B Instruct leads
Gemma 3 27B: 22.5 (#334), Qwen3-Next 80B-A3B Instruct: 42.5 (#98)
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Coding | 1322 | 1440 |
| Aider Polyglot | 4.9% | — |
| SciCode | 21.2% | — |
| LiveBench Coding | 39.9% | — |
Agentic & Tool Use Not comparable
Gemma 3 27B: 25.1 (#110), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Berkeley Function Calling Leaderboard | 29.5% | — |
Reasoning Qwen3-Next 80B-A3B Instruct leads
Gemma 3 27B: 16.7 (#301), Qwen3-Next 80B-A3B Instruct: 31.1 (#81)
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Kagi LLM Benchmark | 40.4% | 66.7% |
| LMArena Hard Prompts | 1340 | 1428 |
| CritPt | 0% | — |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 43.8% | — |
| DTBench | 52.5% | — |
| LiveBench Data Analysis | 51.5% | — |
| LMCA | 12.3% | — |
| Epoch Capabilities Index | 130.04 | — |
| LiveBench | 50% | — |
Math Qwen3-Next 80B-A3B Instruct leads
Gemma 3 27B: 25.9 (#265), Qwen3-Next 80B-A3B Instruct: 38.8 (#126)
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Math | 1312 | 1440 |
| OTIS Mock AIME 2024-2025 | 22.5% | — |
| Omni-MATH | — | 46.7% |
| LiveBench Math | 55.4% | — |
| MATH Level 5 | 74% | — |
Knowledge Qwen3-Next 80B-A3B Instruct leads
Gemma 3 27B: 25.5 (#261), Qwen3-Next 80B-A3B Instruct: 41.8 (#106)
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Vectara Hallucination Rate | 7.4% | 9.3% |
| LMArena Expert | 1304 | 1417 |
| GPQA Diamond | 47.7% | — |
| MMLU-Pro | — | 78.6% |
| Confabulations | 40.3% | — |
| GPQA (HELM) | — | 63% |
Multimodal Not comparable
Gemma 3 27B: 32.6 (#100), Qwen3-Next 80B-A3B Instruct: —
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Vision | 1164 | — |
| GeoBench | 52% | — |
Multilingual Qwen3-Next 80B-A3B Instruct leads
Gemma 3 27B: 46.9 (#155), Qwen3-Next 80B-A3B Instruct: 52.1 (#93)
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Non-English | 1334 | 1407 |
| LMArena Chinese | 1346 | 1460 |
| LMArena French | 1368 | 1413 |
| LMArena German | 1362 | 1417 |
| LMArena Japanese | 1287 | 1395 |
| LMArena Korean | 1308 | 1364 |
| LMArena Russian | 1349 | 1404 |
| LMArena Spanish | 1349 | 1435 |
Instruction Following Too close to call
Gemma 3 27B: 70.6 (#160), Qwen3-Next 80B-A3B Instruct: 70.8 (#159)
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Instruction Following | 1321 | 1389 |
| LiveBench Instruction Following | 74.9% | — |
| IFEval | — | 81% |
Long Context Qwen3-Next 80B-A3B Instruct leads
Gemma 3 27B: 27.6 (#293), Qwen3-Next 80B-A3B Instruct: 37.0 (#223)
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| Fiction.LiveBench | 33.3% | 55.6% |
| LMArena Longer Query | 1333 | 1403 |
Writing & Preference Qwen3-Next 80B-A3B Instruct leads
Gemma 3 27B: 52.5 (#168), Qwen3-Next 80B-A3B Instruct: 58.0 (#121)
| Benchmark | Gemma 3 27B | Qwen3-Next 80B-A3B Instruct |
|---|---|---|
| LMArena Text | 1358 | 1417 |
| LMArena Creative Writing | 1346 | 1334 |
| LMArena Multi-Turn | 1345 | 1416 |
| Short-Story Creative Writing | 79.9% | — |
| EQ-Bench Creative Writing | 1266 | — |
| WildBench | — | 80.7% |
| LiveBench Language | 34.6% | — |
Frequently asked questions
Is Gemma 3 27B better than Qwen3-Next 80B-A3B Instruct?
Qwen3-Next 80B-A3B Instruct is the stronger model overall, scoring 43.0 to 30.8 on the Noometry Index. Gemma 3 27B costs 8.8× less per token, which makes it the better buy when Qwen3-Next 80B-A3B Instruct's lead doesn't matter for your workload.
Which is cheaper, Gemma 3 27B or Qwen3-Next 80B-A3B Instruct?
Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; Qwen3-Next 80B-A3B Instruct lists at $0.50 and $2.
Is Gemma 3 27B or Qwen3-Next 80B-A3B Instruct better for coding?
Qwen3-Next 80B-A3B Instruct scores higher on coding benchmarks: 42.5 versus 22.5 in the Noometry coding category.
Which has the bigger context window?
Both accept 131K tokens.
How many benchmarks do Gemma 3 27B and Qwen3-Next 80B-A3B Instruct share?
20 benchmarks have published results for both models. Gemma 3 27B has 43 scored results on Noometry and Qwen3-Next 80B-A3B Instruct has 25.