Alternatives to Gemma 2 27B
Google LMArena 1231.3 $0.650/M on a balanced workload prices as of 2026-10-06
79 models are higher-scoring or cheaper, with neither dimension worse.
Of the 144 models carrying both an independent score and a published price at the same delivery mode, 79 score at least as high as Gemma 2 27B and cost no more under at least one listed workload, with at least one of those dimensions improved. 79 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning.
Dominance is not a property of a model. It is a property of a model, a capability lens and a workload, and all three are named on every row. Scores are LMArena Elo, used under CC BY 4.0 from the official dataset; prices are blended per million tokens. A higher score is not a drop-in replacement.
This page is built only while a candidate improves score or price without worsening the other under a listed workload. When that comparison no longer holds, it is not generated.
Where it holds
| Workload | Gemma 2 27B $/M | Recorded capabilities preserved | Recorded capability losses |
|---|---|---|---|
| Balanced | $0.650 | 56 | 0 |
| Summarise | $0.650 | 79 | 0 |
| Chat | $0.650 | 53 | 0 |
| Code gen | $0.650 | 37 | 0 |
| Agentic | $0.650 | 70 | 0 |
Workload mixes are defined on the methodology page. Cached input is priced at the cached rate, and reasoning tokens at the worse of the reasoning and output rates.
What you would be replacing
| Intelligence | 1231.3 |
|---|---|
| Context window | 8K |
| Max output | 2K |
| Input modes | text |
| Tool use | no |
| Extended reasoning | no |
Preserving recorded capabilities requires matching or beating these fields. Full record for Gemma 2 27B, or check Gemma 2 27B against the whole catalogue.
Recorded capabilities preserved 79
Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats Gemma 2 27B on recorded context, maximum output, input modes, tool use and extended reasoning.
| # | Model | Intelligence | $/M | Holds under |
|---|---|---|---|---|
| 1 | MiMo-V2.6-Pro Xiaomi | 1491 +259.7 | $0.540 |
|
| 2 | GLM 5.3 Flash Z.ai | 1469.6 +238.3 | $0.238 |
|
| 3 | DeepSeek V4.1 Flash DeepSeek | 1462.5 +231.2 | $0.182 |
|
| 4 | MiMo-V2.5-Pro Xiaomi | 1465 +233.7 | $0.544 |
|
| 5 | MiMo-V2.6-Flash Xiaomi | 1456.4 +225.1 | $0.175 |
|
| 6 | Qwen3.7 Plus Qwen | 1454.6 +223.3 | $0.560 |
|
| 7 | Gemma 4 31B Google | 1443.4 +212.1 | $0.205 |
|
| 8 | Hy3 Tencent | 1440.7 +209.4 | $0.231 |
|
| 9 | Qwen3.8 27B Qwen | 1440.7 +209.4 | $0.562 |
|
| 10 | Gemma 4 26B A4B Google | 1433.9 +202.6 | $0.127 |
|
| 11 | DeepSeek V4 Flash 0423 DeepSeek | 1432.1 +200.8 | $0.113 |
|
| 12 | MiMo-V2.5 Xiaomi | 1427.5 +196.2 | $0.175 |
|
| 13 | MiniMax M3 MiniMax | 1432.1 +200.8 | $0.485 |
|
| 14 | GPT-5.6 Luna OpenAI | 1431 +199.7 | $0.450 |
|
| 15 | DeepSeek V3.2 DeepSeek | 1424.5 +193.2 | $0.290 |
|
| 16 | DeepSeek V3.2 Exp DeepSeek | 1422.4 +191.1 | $0.305 |
|
| 17 | Qwen3 235B A22B Instruct 2507 Qwen | 1419.3 +188 | $0.205 |
|
| 18 | Qwen3 VL 235B A22B Instruct Qwen | 1420.1 +188.8 | $0.370 |
|
| 19 | Qwen3 Next 80B A3B Instruct Qwen | 1417.3 +186 | $0.268 |
|
| 20 | DeepSeek V3.1 DeepSeek | 1419.7 +188.4 | $0.453 |
|
| 21 | DeepSeek V3.1 Terminus DeepSeek | 1417.1 +185.8 | $0.453 |
|
| 22 | Gemini 3.1 Flash Lite Preview Google | 1415.7 +184.4 | $0.563 |
|
| 23 | Inkling Small Thinking Machines | 1413.7 +182.4 | $0.638 |
|
| 24 | Step 3.5 Flash StepFun | 1403 +171.7 | $0.150 |
|
| 25 | Qwen3.5-27B Qwen | 1408.9 +177.6 | $0.536 |
|
| 26 | MiniMax M2.7 MiniMax | 1404.6 +173.3 | $0.525 |
|
| 27 | Qwen3.5-Flash Qwen | 1397 +165.7 | $0.114 |
|
| 28 | Qwen3.5-35B-A3B Qwen | 1394.4 +163.1 | $0.355 |
|
| 29 | GPT-6 Luna OpenAI | 1391.5 +160.2 | $0.200 |
|
| 30 | Qwen3 30B A3B Instruct 2507 Qwen | 1384.1 +152.8 | $0.143 |
|
| 31 | GLM 4.5 Air Z.ai | 1383.9 +152.6 | $0.310 |
|
| 32 | Solar Pro 4 Upstage | 1386.2 +154.9 | $0.525 |
|
| 33 | GLM 4.6V Z.ai | 1376.8 +145.5 | $0.450 |
|
| 34 | DeepSeek V3 0324 DeepSeek | 1375 +143.7 | $0.438 |
|
| 35 | GPT-5.4 Nano OpenAI | 1372.1 +140.8 | $0.463 |
|
| 36 | gpt-oss-120b OpenAI | 1365.4 +134.1 | $0.065 |
|
| 37 | Qwen3 Next 80B A3B Thinking Qwen | 1368.3 +137 | $0.413 |
|
| 38 | Gemma 3 27B Google | 1357.8 +126.5 | $0.100 |
|
| 39 | MiniMax M2.5 MiniMax | 1359.3 +128 | $0.521 |
|
| 40 | Mercury 2 Inception | 1355.2 +123.9 | $0.375 |
|
| 41 | GLM 4.7 Flash Z.ai | 1350.9 +119.6 | $0.145 |
|
| 42 | Qwen3 32B Qwen | 1340.1 +108.8 | $0.130 |
|
| 43 | Trinity Large Thinking Arcee | 1340 +108.7 | $0.388 |
|
| 44 | Gemma 3 12B Google | 1334.2 +102.9 | $0.075 |
|
| 45 | MiniMax M2 MiniMax | 1339.9 +108.6 | $0.525 |
|
| 46 | DeepSeek V3 DeepSeek | 1332.5 +101.2 | $0.500 |
|
| 47 | GPT-5 Nano OpenAI | 1320 +88.7 | $0.138 |
|
| 48 | Granite 4.2 8B IBM | 1317.8 +86.5 | $0.108 |
|
| 49 | Qwen3 30B A3B Qwen | 1316.6 +85.3 | $0.215 |
|
| 50 | Gemma 3 4B Google | 1290.8 +59.5 | $0.063 |
|
| 51 | gpt-oss-20b OpenAI | 1287.7 +56.4 | $0.036 |
|
| 52 | GPT-4o-mini (2024-07-18) OpenAI | 1286.4 +55.1 | $0.263 |
|
| 53 | GPT-4.1 Nano OpenAI | 1284.8 +53.5 | $0.175 |
|
| 54 | Llama 3.3 70B Instruct Meta | 1274.1 +42.8 | $0.201 |
|
| 55 | Qwen2.5 72B Instruct Qwen | 1269 +37.7 | $0.370 |
|
| 56 | Mistral Small 3 Mistral | 1233.6 tie | $0.058 |
|
| 57 | GLM 5.3 Z.ai | 1471.4 +240.1 | $0.346 summarise |
|
| 58 | GLM 5.2 Z.ai | 1470.4 +239.1 | $0.422 summarise |
|
| 59 | Kimi K2.6 Moonshot AI | 1455.5 +224.2 | $0.460 summarise |
|
| 60 | DeepSeek V4 Pro 0423 DeepSeek | 1445.2 +213.9 | $0.502 summarise |
|
| 61 | GLM 5 Z.ai | 1446.3 +215 | $0.617 summarise |
|
| 62 | Kimi K2.5 Moonshot AI | 1445.2 +213.9 | $0.578 summarise |
|
| 63 | GLM 4.6 Z.ai | 1439.9 +208.6 | $0.396 summarise |
|
| 64 | Qwen3.5 397B A17B Qwen | 1438 +206.7 | $0.488 summarise |
|
| 65 | Qwen3.6 Plus Qwen | 1436.7 +205.4 | $0.406 summarise |
|
| 66 | GLM 4.7 Z.ai | 1435.5 +204.2 | $0.376 summarise |
|
| 67 | Gemini 3.5 Flash Lite Google | 1434.7 +203.4 | $0.333 summarise |
|
| 68 | GLM 4.5 Z.ai | 1430.3 +199 | $0.540 summarise |
|
| 69 | R1 0528 DeepSeek | 1427.9 +196.6 | $0.584 summarise |
|
| 70 | Gemini 2.5 Flash Google | 1417 +185.7 | $0.333 summarise |
|
| 71 | Qwen3.5-122B-A10B Qwen | 1417.1 +185.8 | $0.351 summarise |
|
| 72 | Qwen3 235B A22B Thinking 2507 Qwen | 1415.2 +183.9 | $0.334 summarise |
|
| 73 | Qwen3 VL 235B A22B Thinking Qwen | 1400.7 +169.4 | $0.580 summarise |
|
| 74 | GPT-5 Mini OpenAI | 1373.2 +141.9 | $0.273 summarise |
|
| 75 | Qwen3 235B A22B Qwen | 1366.6 +135.3 | $0.523 summarise |
|
| 76 | Nova 2 Lite Amazon | 1361.8 +130.5 | $0.410 summarise |
|
| 77 | MiniMax M1 MiniMax | 1342.8 +111.5 | $0.490 summarise |
|
| 78 | GPT-4.1 Mini OpenAI | 1340.4 +109.1 | $0.375 summarise |
|
| 79 | GLM 4.5V Z.ai | 1332.8 +101.5 | $0.520 summarise |
|
What this compares, and what it leaves out
- Quality is LMArena Elo, used under CC BY 4.0 from the official dataset. The 95% confidence interval on a difference between two scores is about ±10.47 points, so a gap smaller than that is marked tie rather than an improvement — see significance bands.
- 204 further models at this delivery mode carry a price but no independent score. They are absent from the comparison in both directions — unrated is not a zero, and an unmeasured model is neither an alternative nor a worse buy.
- Retired models are never offered as an alternative, and a model only competes against its own delivery mode: batch trades latency for price, so it is not a like-for-like swap.
- Nothing here measures latency, throughput, rate limits or how a model behaves on your prompts. Two models with the same index score are not interchangeable.
- Models with no higher-scoring or cheaper alternative that is no worse on the other axis are on the value frontier. Models with such an alternative are listed here.