Compare / Qwen3-14B vs Gemma 3 27B
Qwen3-14B vs Gemma 3 27B
Which is cheaper, which is more capable, and which does better at each kind of work, from 25 results on 4 sources that measured both models.
Of the 25 results both models have, the better value on each. Results whose reported ranges overlap are too close to call.
Results as of 9 October 2026 (catalogue release 2026-10-09-dd620e778ac5). See also Alibaba vs Google, every model from both labs.
Qwen3-14B or Gemma 3 27B? The short answer
Pick Qwen3-14B: it scores higher (Intelligence Index 8.2 against 4.9) at about the same price.
- They cost about the same: $0.15 and $0.14 per million tokens (three input to one output).
- Qwen3-14B scores higher on the Artificial Analysis Intelligence Index: 8.2 against 4.9.
- Qwen3-14B is newer: released 28 Apr 2025, against 11 Mar 2025 for Gemma 3 27B.
- On third-party benchmarks, on the results both models have: Qwen3-14B does better for agents and tool use, reasoning and knowledge and sticking to the facts; Gemma 3 27B for writing.
Head to head
Every fact side by side
| Qwen3-14B | Gemma 3 27B | |
|---|---|---|
| Price per million tokens | $0.12 in · $0.24 out | $0.12 in · $0.20 out |
| Blended (3 in : 1 out) | $0.15 | $0.14 |
| Cheapest host, blended | $0.13 (NextBit, INT4) | $0.10 (DeepInfra, FP8) |
| Intelligence Index | 8.2 | 4.9 |
| Spring Prompt overall | – | – |
| Output speed, tokens a second | – | – |
| Context window | 131,072 tokens | 131,072 tokens |
| Released | 28 Apr 2025 (newer) | 11 Mar 2025 |
| Weights | Open | Open |
| Developer based in | China | the US |
Prices are the developer's list price where we have read it, otherwise the typical host on OpenRouter; see every model's price. Intelligence and speed from Artificial Analysis.
Which is better for what
Each model's rank among the models on sale today, for each kind of work, from our own benchmarks and licensed sources. Further right is better; the better rank is in green.
Every shared result
Each model's best result on every measure both have, grouped by benchmark, with the setting that produced it. Under each measure, every model that benchmark has measured is a grey tick, best to the right, so you can see where the two sit in the field. The headline measures of each benchmark come first; the rest are under "Show all". Green marks the better value; where a source reports ranges that overlap, neither is marked.
| Measure | Qwen3-14B | Gemma 3 27B |
|---|---|---|
| Artificial Analysis reported by Artificial Analysis · 3 results | ||
| Artificial Analysis Intelligence Indexindex score, higher is better 194 · 239 of 243 measured | 8.2thinking reasoning | 4.9 |
| GPQA Diamond% of questions, higher is better 181 · 214 of 231 measured | 60.4%thinking reasoning | 42.8% |
| Humanity's Last Exam% of questions, higher is better 202 · 207 of 242 measured | 4.5%thinking reasoning | 4.4% |
| Berkeley Function Calling Leaderboard (BFCL) V4 reported by Berkeley Function Calling Leaderboard (BFCL) V4 · 3 results | ||
| Overall accuracy · BFCL% correct, higher is better 34 · 50 of 81 measured | 41.0%bfcl fc | 29.5%bfcl prompt |
| Irrelevance detection · BFCL% correct, higher is better 20 · 60 of 81 measured | 87.2%bfcl prompt | 73.7%bfcl prompt |
| Memory · BFCL% correct, higher is better 33 · 45 of 81 measured | 19.6%bfcl fc | 13.6%bfcl prompt |
| UGI Leaderboard reported by UGI Leaderboard · 3 results | ||
| Writing score · UGIscore out of 100, higher is better 128 · 88 of 230 measured | 34.8no reasoning | 45.0 |
| Requested-length error · UGI% off the requested word count, lower is better 111 · 25 of 230 measured | 20.0%no reasoning | 8.0% |
| Style adherence · UGIscore from 0 to 1, higher is better 49 · 212 of 230 measured | 0.37no reasoning | 0.29 |
| Vectara Hallucination Leaderboard reported by Vectara Hallucination Leaderboard · 2 results | ||
| Hallucination rate · Vectara% of summaries, lower is better 17 · 35 of 104 measured | 5.4% | 7.4% |
| Answer rate · Vectara% of documents, higher is better 17 · 69 of 104 measured | 99.9% | 98.8% |
Show all 25 results (14 more)
| Measure | Qwen3-14B | Gemma 3 27B |
|---|---|---|
| Artificial Analysis reported by Artificial Analysis · 9 results | ||
| Terminal-Bench 2.1% of tasks, higher is better 112 · 114 of 130 measured | 4.9%thinking reasoning | 4.5% |
| Terminal-Bench 4.0% of tasks, higher is better 66 · 66 of 112 measured | 0.0%thinking reasoning | 0.0% |
| τ-bench banking% of tasks, higher is better 100 · 119 of 121 measured | 5.6%thinking reasoning | 0.8% |
| Artificial Analysis Coding Indexindex score, higher is better 115 · 121 of 131 measured | 13.8thinking reasoning | 10.1 |
| IFBench% of instructions, higher is better 132 · 173 of 195 measured | 40.5%thinking reasoning | 31.8% |
| Long-context reasoning (AA-LCR)% of questions, higher is better 222 · 217 of 233 measured | 0.0%no reasoning | 7.3% |
| SciCode% of problems, higher is better 100 · 109 of 113 measured | 30.7%thinking reasoning | 23.3% |
| Terminal-Bench Hard% of tasks, higher is better 153 · 162 of 190 measured | 5.3%no reasoning | 3.8% |
| τ²-bench telecom% of tasks, higher is better 123 · 184 of 193 measured | 34.5%thinking reasoning | 10.5% |
| Berkeley Function Calling Leaderboard (BFCL) V4 reported by Berkeley Function Calling Leaderboard (BFCL) V4 · 5 results | ||
| Multi-turn tasks · BFCL% correct, higher is better 31 · 50 of 81 measured | 34.8%bfcl fc | 10.8%bfcl prompt |
| Relevance detection · BFCL% correct, higher is better 26 · 36 of 81 measured | 87.5%bfcl fc | 81.3%bfcl prompt |
| Single-turn calls (curated) · BFCL% correct, higher is better 7 · 25 of 81 measured | 89.5%bfcl prompt | 87.2%bfcl prompt |
| Single-turn calls (user-contributed) · BFCL% correct, higher is better 10 · 36 of 81 measured | 80.0%bfcl fc | 74.5%bfcl prompt |
| Web search · BFCL% correct, higher is better 37 · 66 of 81 measured | 10.5%bfcl prompt | 0.0%bfcl prompt |
Compare them with other models
Quick answers
Is Qwen3-14B better than Gemma 3 27B?
Pick Qwen3-14B: it scores higher (Intelligence Index 8.2 against 4.9) at about the same price.
Which is cheaper, Qwen3-14B or Gemma 3 27B?
They cost about the same: $0.15 and $0.14 per million tokens (three input to one output).
Which is better for agents and tool use, Qwen3-14B or Gemma 3 27B?
Qwen3-14B ranks 122 of 164 models on sale for multi-step tasks with tools: support desks, coding agents, function calls, against 144 for Gemma 3 27B.
Which is better for reasoning and knowledge, Qwen3-14B or Gemma 3 27B?
Qwen3-14B ranks 162 of 198 models on sale for hard questions across science, maths and general knowledge, against 191 for Gemma 3 27B.
Which is better for writing, Qwen3-14B or Gemma 3 27B?
Gemma 3 27B ranks 113 of 188 models on sale for what people prefer in blind comparisons, and judged writing quality, against 130 for Qwen3-14B.
Which is better for sticking to the facts, Qwen3-14B or Gemma 3 27B?
Qwen3-14B ranks 15 of 152 models on sale for summarising without inventing things, and factual answers, against 96 for Gemma 3 27B.
Run Qwen3-14B and Gemma 3 27B on your own prompt
Benchmarks aren't your data. Try both side by side in the playground, with the cost of every answer.