Cheaper alternatives to Gemma 2 27B
Google LMArena 1231.5 $0.650/M on a balanced workload prices as of 2026-08-28
73 models are both better and cheaper, giving up nothing.
Of the 133 models carrying both an independent score and a published price at the same delivery mode, 73 score at least as high as Gemma 2 27B and cost no more under at least one workload. 73 match or beat it on every capability we hold — 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 from that comparison and nothing else. When no model is both better and cheaper than Gemma 2 27B, it is not generated.
Where it holds
| Workload | Gemma 2 27B $/M | Better and cheaper | With a trade |
|---|---|---|---|
| Balanced | $0.650 | 50 | 0 |
| Summarise | $0.650 | 72 | 0 |
| Chat | $0.650 | 47 | 0 |
| Code gen | $0.650 | 32 | 0 |
| Agentic | $0.650 | 67 | 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 | 1231.5 |
|---|---|
| Context window | 8K |
| Max output | 2K |
| Input modes | text |
| Tool use | no |
| Extended reasoning | no |
A replacement has to clear every line above, not just the score. Full record for Gemma 2 27B.
Better and cheaper, nothing given up 73
Each of these matches or beats Gemma 2 27B on context, maximum output, input modes, tool use and reasoning, scores at least as high, and costs no more.
| # | Model | Intelligence | $/M | Holds under |
|---|---|---|---|---|
| 1 | MiMo-V2.5-Pro Xiaomi | 1465 +233.5 | $0.544 |
|
| 2 | Qwen3.7 Plus Qwen | 1456.2 +224.7 | $0.560 |
|
| 3 | Gemma 4 31B Google | 1441.7 +210.2 | $0.152 |
|
| 4 | Hy3 Tencent | 1441.2 +209.7 | $0.144 |
|
| 5 | Gemma 4 26B A4B Google | 1434.6 +203.1 | $0.138 |
|
| 6 | DeepSeek V4 Flash 0423 DeepSeek | 1431.6 +200.1 | $0.101 |
|
| 7 | MiniMax M3 MiniMax | 1434.8 +203.3 | $0.525 |
|
| 8 | MiMo-V2.5 Xiaomi | 1427.3 +195.8 | $0.175 |
|
| 9 | GPT-5.6 Luna OpenAI | 1428.5 +197 | $0.450 |
|
| 10 | DeepSeek V3.2 DeepSeek | 1424.6 +193.1 | $0.290 |
|
| 11 | DeepSeek V3.2 Exp DeepSeek | 1424.4 +192.9 | $0.305 |
|
| 12 | Qwen3 235B A22B Instruct 2507 Qwen | 1419.3 +187.8 | $0.205 |
|
| 13 | Qwen3 Next 80B A3B Instruct Qwen | 1418.6 +187.1 | $0.350 |
|
| 14 | DeepSeek V3.1 Terminus DeepSeek | 1419.6 +188.1 | $0.453 |
|
| 15 | Qwen3 VL 235B A22B Instruct Qwen | 1420.9 +189.4 | $0.632 |
|
| 16 | Gemini 3.1 Flash Lite Preview Google | 1414.8 +183.3 | $0.563 |
|
| 17 | Inkling Small Thinking Machines | 1411.7 +180.2 | $0.637 |
|
| 18 | Step 3.5 Flash StepFun | 1403.8 +172.3 | $0.150 |
|
| 19 | Qwen3.5-27B Qwen | 1407.9 +176.4 | $0.536 |
|
| 20 | MiniMax M2.7 MiniMax | 1405.3 +173.8 | $0.525 |
|
| 21 | Qwen3.5-Flash Qwen | 1397.6 +166.1 | $0.114 |
|
| 22 | Qwen3.5-35B-A3B Qwen | 1395.6 +164.1 | $0.500 |
|
| 23 | Qwen3 30B A3B Instruct 2507 Qwen | 1384.3 +152.8 | $0.084 |
|
| 24 | GLM 4.5 Air Z.ai | 1382.8 +151.3 | $0.310 |
|
| 25 | Solar Pro 4 Upstage | 1376.2 +144.7 | $0.052 |
|
| 26 | DeepSeek V3 0324 DeepSeek | 1375 +143.5 | $0.438 |
|
| 27 | GLM 4.6V Z.ai | 1374.7 +143.2 | $0.450 |
|
| 28 | GPT-5.4 Nano OpenAI | 1372.8 +141.3 | $0.463 |
|
| 29 | gpt-oss-120b OpenAI | 1365.6 +134.1 | $0.070 |
|
| 30 | Qwen3 Next 80B A3B Thinking Qwen | 1367.5 +136 | $0.412 |
|
| 31 | Gemma 3 27B Google | 1358.3 +126.8 | $0.172 |
|
| 32 | Mercury 2 Inception | 1357.8 +126.3 | $0.375 |
|
| 33 | MiniMax M2.5 MiniMax | 1359 +127.5 | $0.472 |
|
| 34 | GLM 4.7 Flash Z.ai | 1352.9 +121.4 | $0.145 |
|
| 35 | Qwen3 32B Qwen | 1340.1 +108.6 | $0.130 |
|
| 36 | Trinity Large Thinking Arcee | 1341.9 +110.4 | $0.378 |
|
| 37 | MiniMax M2 MiniMax | 1342.1 +110.6 | $0.446 |
|
| 38 | Gemma 3 12B Google | 1334.2 +102.7 | $0.075 |
|
| 39 | DeepSeek V3 DeepSeek | 1332.6 +101.1 | $0.450 |
|
| 40 | GPT-5 Nano OpenAI | 1320.3 +88.8 | $0.138 |
|
| 41 | Qwen3 30B A3B Qwen | 1316.9 +85.4 | $0.215 |
|
| 42 | Olmo 3 32B Think Allen AI | 1298.5 +67 | $0.237 |
|
| 43 | Granite 4.1 8B IBM | 1291.6 +60.1 | $0.063 |
|
| 44 | Gemma 3 4B Google | 1290.8 +59.3 | $0.063 |
|
| 45 | gpt-oss-20b OpenAI | 1287.8 +56.3 | $0.055 |
|
| 46 | GPT-4o-mini (2024-07-18) OpenAI | 1286.6 +55.1 | $0.263 |
|
| 47 | GPT-4.1 Nano OpenAI | 1284.8 +53.3 | $0.175 |
|
| 48 | Qwen2.5 72B Instruct Qwen | 1269.1 +37.6 | $0.370 |
|
| 49 | Llama 3.1 70B Instruct Meta | 1261 +29.5 | $0.400 |
|
| 50 | Mistral Small 3 Mistral | 1233.6 tie | $0.058 |
|
| 51 | Gemini 3.7 Flash Google | 1490.2 +258.7 | $0.354 summarise |
|
| 52 | Kimi K2.5 Moonshot AI | 1445.2 +213.7 | $0.432 summarise |
|
| 53 | GLM 5 Z.ai | 1445.2 +213.7 | $0.529 summarise |
|
| 54 | Qwen3.8 27B Qwen | 1440.8 +209.3 | $0.434 summarise |
|
| 55 | GLM 4.6 Z.ai | 1439.8 +208.3 | $0.461 summarise |
|
| 56 | Gemini 3.5 Flash Lite Google | 1436.5 +205 | $0.333 summarise |
|
| 57 | DeepSeek V4 Pro 0423 DeepSeek | 1439.2 +207.7 | $0.526 agentic |
|
| 58 | Qwen3.5 397B A17B Qwen | 1438.3 +206.8 | $0.487 summarise |
|
| 59 | Qwen3.6 Plus Qwen | 1436.8 +205.3 | $0.406 summarise |
|
| 60 | GLM 4.7 Z.ai | 1435.3 +203.8 | $0.376 summarise |
|
| 61 | GLM 4.5 Z.ai | 1429.4 +197.9 | $0.540 summarise |
|
| 62 | R1 0528 DeepSeek | 1427.9 +196.4 | $0.540 summarise |
|
| 63 | Qwen3.5-122B-A10B Qwen | 1417.9 +186.4 | $0.351 summarise |
|
| 64 | Gemini 2.5 Flash Google | 1417.3 +185.8 | $0.333 summarise |
|
| 65 | DeepSeek V3.1 DeepSeek | 1419.1 +187.6 | $0.605 summarise |
|
| 66 | Qwen3 235B A22B Thinking 2507 Qwen | 1413.8 +182.3 | $0.334 summarise |
|
| 67 | Qwen3 VL 235B A22B Thinking Qwen | 1400.6 +169.1 | $0.580 summarise |
|
| 68 | GPT-5 Mini OpenAI | 1373.4 +141.9 | $0.273 summarise |
|
| 69 | Qwen3 235B A22B Qwen | 1366 +134.5 | $0.523 summarise |
|
| 70 | Nova 2 Lite Amazon | 1362.2 +130.7 | $0.410 summarise |
|
| 71 | GPT-4.1 Mini OpenAI | 1340.5 +109 | $0.374 summarise |
|
| 72 | MiniMax M1 MiniMax | 1341.9 +110.4 | $0.632 summarise |
|
| 73 | GLM 4.5V Z.ai | 1333.6 +102.1 | $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 ±10.68 points, so a gap smaller than that is marked tie rather than an improvement — see significance bands.
- 188 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.
- The models that nothing beats on both axes are on the value frontier, and every other model something cheaper beats is listed here.