Cheaper alternatives to Claude Sonnet 4

Anthropic LMArena 1338.2 $6.00/M on a balanced workload prices as of 2026-08-28

18 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, 93 score at least as high as Claude Sonnet 4 and cost no more under at least one workload. 90 of them are genuinely cheaper; the rest match the price and win on score alone. 18 match or beat it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. 75 do not, and every row names what it drops.

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 Claude Sonnet 4, it is not generated.

Where it holds

WorkloadClaude Sonnet 4 $/MBetter and cheaperWith a trade
Balanced$6.001875
Summarise$2.831875
Chat$6.991875
Code gen$9.981875
Agentic$3.191875

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

Intelligence1338.2
Context window1M
Max output64K
Input modesimage, text, file
Tool useyes
Extended reasoningyes

A replacement has to clear every line above, not just the score. Full record for Claude Sonnet 4.

Better and cheaper, nothing given up 18

Each of these matches or beats Claude Sonnet 4 on context, maximum output, input modes, tool use and reasoning, scores at least as high, and costs no more.

#ModelIntelligence$/MHolds under
1Gemini 3.7 Flash Google1490.2 +152$0.750
  • Balanced −88%
  • Summarise −88%
  • Chat −87%
  • Code gen −88%
  • Agentic −87%
2Gemini 3.5 Flash Google1482.6 +144.4$3.38
  • Balanced −44%
  • Summarise −47%
  • Chat −41%
  • Code gen −41%
  • Agentic −43%
3Muse Spark 1.1 Meta1478.3 +140.1$2.00
  • Balanced −67%
  • Summarise −62%
  • Chat −70%
  • Code gen −70%
  • Agentic −67%
4Gemini 3.6 Flash Google1476.5 +138.3$1.50
  • Balanced −75%
  • Summarise −75%
  • Chat −75%
  • Code gen −75%
  • Agentic −75%
5Gemini 3.1 Pro Preview Google1479.5 +141.3$4.50
  • Balanced −25%
  • Summarise −30%
  • Chat −22%
  • Code gen −21%
  • Agentic −24%
6GPT-5.4 OpenAI1469.6 +131.4$5.63
  • Balanced −6%
  • Summarise −12%
  • Chat −2%
  • Code gen −2%
  • Agentic −5%
7Gemini 2.5 Pro Google1457.3 +119.1$3.44
  • Balanced −43%
  • Summarise −52%
  • Chat −37%
  • Code gen −36%
  • Agentic −41%
8Claude Sonnet 4.6 Anthropic1457.6 +119.4$6.00
  • Balanced same price
  • Summarise same price
  • Chat same price
  • Code gen same price
  • Agentic same price
9GPT-5.6 Sol OpenAI1454.2 +116$4.00
  • Balanced −33%
  • Summarise −33%
  • Chat −33%
  • Code gen −33%
  • Agentic −33%
10GPT-5.6 Terra OpenAI1446 +107.8$4.50
  • Balanced −25%
  • Summarise −30%
  • Chat −22%
  • Code gen −21%
  • Agentic −24%
11Claude Sonnet 5 Anthropic1442.3 +104.1$4.00
  • Balanced −33%
  • Summarise −33%
  • Chat −33%
  • Code gen −33%
  • Agentic −33%
12Gemini 3.5 Flash Lite Google1436.5 +98.3$0.850
  • Balanced −86%
  • Summarise −88%
  • Chat −84%
  • Code gen −84%
  • Agentic −85%
13Claude Sonnet 4.5 Anthropic1438 +99.8$6.00
  • Balanced same price
  • Summarise same price
  • Chat same price
  • Code gen same price
  • Agentic same price
14GPT-5.6 Luna OpenAI1428.5 +90.3$0.450
  • Balanced −93%
  • Summarise −93%
  • Chat −92%
  • Code gen −92%
  • Agentic −92%
15Gemini 2.5 Flash Google1417.3 +79.1$0.850
  • Balanced −86%
  • Summarise −88%
  • Chat −84%
  • Code gen −84%
  • Agentic −85%
16Gemini 3.1 Flash Lite Preview Google1414.8 +76.6$0.563
  • Balanced −91%
  • Summarise −91%
  • Chat −90%
  • Code gen −90%
  • Agentic −90%
17Grok 4.3 xAI1397.5 +59.3$1.56
  • Balanced −74%
  • Summarise −64%
  • Chat −79%
  • Code gen −81%
  • Agentic −75%
18Nova 2 Lite Amazon1362.2 +24$0.850
  • Balanced −86%
  • Summarise −86%
  • Chat −83%
  • Code gen −84%
  • Agentic −80%

Cheaper and higher-scoring, but you give something up 75

These score at least as high and cost no more on the two plotted axes, and lose something that is not on them. Read the last column before switching.

ModelIntelligence$/MHolds underWhat you give up
Qwen3.8 Max Qwen1481.9 +143.7$3.00
  • Balanced −50%
  • Summarise −40%
  • Chat −56%
  • Code gen −57%
  • Agentic −51%
  • no file input
GLM 5.3 Z.ai1476.9 +138.7$2.15
  • Balanced −64%
  • Summarise −57%
  • Chat −68%
  • Code gen −69%
  • Agentic −63%
  • no image, file input
Kimi K3 Moonshot AI1476.3 +138.1$6.00
  • Balanced same price
  • Summarise same price
  • Chat same price
  • Code gen same price
  • Agentic same price
  • no file input
MiMo-V2.5-Pro Xiaomi1465 +126.8$0.544
  • Balanced −91%
  • Summarise −88%
  • Chat −93%
  • Code gen −93%
  • Agentic −92%
  • no image, file input
GLM 5.2 Z.ai1465.4 +127.2$1.83
  • Balanced −70%
  • Summarise −63%
  • Chat −73%
  • Code gen −74%
  • Agentic −69%
  • no image, file input
GLM 5.1 Z.ai1464.1 +125.9$1.94
  • Balanced −68%
  • Summarise −61%
  • Chat −71%
  • Code gen −72%
  • Agentic −67%
  • 1.0M → 205K context
  • no image, file input
Qwen3.7 Plus Qwen1456.2 +118$0.560
  • Balanced −91%
  • Summarise −90%
  • Chat −91%
  • Code gen −91%
  • Agentic −90%
  • no file input
Kimi K2.6 Moonshot AI1455 +116.8$1.71
  • Balanced −71%
  • Summarise −69%
  • Chat −72%
  • Code gen −73%
  • Agentic −71%
  • 1.0M → 262K context
  • no file input
Grok 4.5 xAI1452.3 +114.1$3.00
  • Balanced −50%
  • Summarise −39%
  • Chat −56%
  • Code gen −57%
  • Agentic −50%
  • 1.0M → 500K context
Kimi K2.5 Moonshot AI1445.2 +107$0.900
  • Balanced −85%
  • Summarise −85%
  • Chat −85%
  • Code gen −85%
  • Agentic −85%
  • 1.0M → 262K context
  • no file input
GLM 5 Z.ai1445.2 +107$0.930
  • Balanced −85%
  • Summarise −81%
  • Chat −86%
  • Code gen −86%
  • Agentic −84%
  • 1.0M → 205K context
  • no image, file input
Qwen3.6 Max Preview Qwen1446.3 +108.1$2.31
  • Balanced −61%
  • Summarise −55%
  • Chat −56%
  • Code gen −59%
  • Agentic −44%
  • 1.0M → 262K context
  • no image, file input
Gemma 4 31B Google1441.7 +103.5$0.152
  • Balanced −97%
  • Summarise −97%
  • Chat −97%
  • Code gen −98%
  • Agentic −97%
  • 1.0M → 262K context
  • 64K → 16K max output
  • no file input
Hy3 Tencent1441.2 +103$0.144
  • Balanced −98%
  • Summarise −97%
  • Chat −98%
  • Code gen −98%
  • Agentic −97%
  • 1.0M → 262K context
  • no image, file input
Qwen3.8 27B Qwen1440.8 +102.6$0.956
  • Balanced −84%
  • Summarise −85%
  • Chat −83%
  • Code gen −83%
  • Agentic −83%
  • no file input
Grok 4.6 xAI1443.7 +105.5$3.00
  • Balanced −50%
  • Summarise −37%
  • Chat −55%
  • Code gen −57%
  • Agentic −47%
  • 1.0M → 500K context
GLM 4.6 Z.ai1439.8 +101.6$0.875
  • Balanced −85%
  • Summarise −84%
  • Chat −86%
  • Code gen −86%
  • Agentic −85%
  • 1.0M → 205K context
  • no image, file input
DeepSeek V4 Pro 0423 DeepSeek1439.2 +101$1.09
  • Balanced −82%
  • Summarise −76%
  • Chat −86%
  • Code gen −87%
  • Agentic −84%
  • no image, file input
Qwen3.5 397B A17B Qwen1438.3 +100.1$0.877
  • Balanced −85%
  • Summarise −83%
  • Chat −83%
  • Code gen −84%
  • Agentic −79%
  • 1.0M → 262K context
  • no file input
Inkling Thinking Machines1439.2 +101$1.73
  • Balanced −71%
  • Summarise −69%
  • Chat −72%
  • Code gen −72%
  • Agentic −70%
  • no file input
GPT-5.1 OpenAI1441.4 +103.2$3.44
  • Balanced −43%
  • Summarise −52%
  • Chat −37%
  • Code gen −36%
  • Agentic −41%
  • 1.0M → 400K context
Qwen3.6 Plus Qwen1436.8 +98.6$0.731
  • Balanced −88%
  • Summarise −86%
  • Chat −86%
  • Code gen −87%
  • Agentic −82%
  • no file input
Gemma 4 26B A4B Google1434.6 +96.4$0.138
  • Balanced −98%
  • Summarise −97%
  • Chat −97%
  • Code gen −98%
  • Agentic −97%
  • 1.0M → 262K context
  • 64K → 16K max output
  • no file input
GLM 4.7 Z.ai1435.3 +97.1$0.738
  • Balanced −88%
  • Summarise −87%
  • Chat −88%
  • Code gen −88%
  • Agentic −87%
  • 1.0M → 205K context
  • no image, file input
MiniMax M3 MiniMax1434.8 +96.6$0.525
  • Balanced −91%
  • Summarise −90%
  • Chat −92%
  • Code gen −92%
  • Agentic −91%
  • no file input
GLM 5V Turbo Z.ai1436.8 +98.6$1.90
  • Balanced −68%
  • Summarise −62%
  • Chat −71%
  • Code gen −72%
  • Agentic −67%
  • 1.0M → 203K context
  • no file input
DeepSeek V4 Flash 0423 DeepSeek1431.6 +93.4$0.101
  • Balanced −98%
  • Summarise −98%
  • Chat −99%
  • Code gen −99%
  • Agentic −98%
  • no image, file input
GLM 4.5 Z.ai1429.4 +91.2$1.00
  • Balanced −83%
  • Summarise −81%
  • Chat −84%
  • Code gen −85%
  • Agentic −83%
  • 1.0M → 131K context
  • no image, file input
MiMo-V2.5 Xiaomi1427.3 +89.1$0.175
  • Balanced −97%
  • Summarise −96%
  • Chat −98%
  • Code gen −98%
  • Agentic −98%
  • no file input
R1 0528 DeepSeek1427.9 +89.7$0.912
  • Balanced −85%
  • Summarise −81%
  • Chat −84%
  • Code gen −85%
  • Agentic −79%
  • 1.0M → 164K context
  • 64K → 33K max output
  • no image, file input
DeepSeek V3.2 DeepSeek1424.6 +86.4$0.290
  • Balanced −95%
  • Summarise −92%
  • Chat −96%
  • Code gen −97%
  • Agentic −94%
  • 1.0M → 164K context
  • no image, file input
DeepSeek V3.2 Exp DeepSeek1424.4 +86.2$0.305
  • Balanced −95%
  • Summarise −90%
  • Chat −95%
  • Code gen −96%
  • Agentic −91%
  • 1.0M → 164K context
  • no image, file input
Qwen3 VL 235B A22B Instruct Qwen1420.9 +82.7$0.632
  • Balanced −89%
  • Summarise −91%
  • Chat −88%
  • Code gen −88%
  • Agentic −88%
  • 1.0M → 262K context
  • 64K → 33K max output
  • no file input
  • no extended reasoning
Qwen3 235B A22B Instruct 2507 Qwen1419.3 +81.1$0.205
  • Balanced −97%
  • Summarise −96%
  • Chat −96%
  • Code gen −96%
  • Agentic −95%
  • 1.0M → 262K context
  • 64K → 16K max output
  • no image, file input
  • no extended reasoning
DeepSeek V3.1 Terminus DeepSeek1419.6 +81.4$0.453
  • Balanced −92%
  • Summarise −91%
  • Chat −93%
  • Code gen −93%
  • Agentic −91%
  • 1.0M → 164K context
  • 64K → 33K max output
  • no image, file input
Qwen3 Next 80B A3B Instruct Qwen1418.6 +80.4$0.350
  • Balanced −94%
  • Summarise −95%
  • Chat −93%
  • Code gen −93%
  • Agentic −93%
  • 1.0M → 262K context
  • no image, file input
  • no extended reasoning
DeepSeek V3.1 DeepSeek1419.1 +80.9$0.825
  • Balanced −86%
  • Summarise −79%
  • Chat −86%
  • Code gen −88%
  • Agentic −78%
  • 1.0M → 164K context
  • no image, file input
Qwen3.5-122B-A10B Qwen1417.9 +79.7$0.715
  • Balanced −88%
  • Summarise −88%
  • Chat −86%
  • Code gen −86%
  • Agentic −83%
  • 1.0M → 262K context
  • no file input
Mistral Medium 3.5 Mistral1420.9 +82.7$3.00
  • Balanced −50%
  • Summarise −36%
  • Chat −44%
  • Code gen −49%
  • Agentic −25%
  • 1.0M → 262K context
Qwen3 235B A22B Thinking 2507 Qwen1413.8 +75.6$0.748
  • Balanced −88%
  • Summarise −88%
  • Chat −85%
  • Code gen −85%
  • Agentic −83%
  • 1.0M → 131K context
  • no image, file input
Inkling Small Thinking Machines1411.7 +73.5$0.637
  • Balanced −89%
  • Summarise −86%
  • Chat −91%
  • Code gen −91%
  • Agentic −89%
  • no file input
Qwen3 Max Qwen1412.7 +74.5$1.56
  • Balanced −74%
  • Summarise −73%
  • Chat −74%
  • Code gen −74%
  • Agentic −73%
  • 1.0M → 262K context
  • no image, file input
GPT-5.4 Mini OpenAI1412.1 +73.9$1.69
  • Balanced −72%
  • Summarise −74%
  • Chat −71%
  • Code gen −70%
  • Agentic −71%
  • 1.0M → 400K context
GPT-5.2 OpenAI1416.5 +78.3$4.81
  • Balanced −20%
  • Summarise −32%
  • Chat −12%
  • Code gen −10%
  • Agentic −17%
  • 1.0M → 400K context
Qwen3.5-27B Qwen1407.9 +69.7$0.536
  • Balanced −91%
  • Summarise −91%
  • Chat −89%
  • Code gen −90%
  • Agentic −87%
  • 1.0M → 262K context
  • no file input
MiniMax M2.7 MiniMax1405.3 +67.1$0.525
  • Balanced −91%
  • Summarise −90%
  • Chat −92%
  • Code gen −92%
  • Agentic −91%
  • 1.0M → 205K context
  • no image, file input
Step 3.5 Flash StepFun1403.8 +65.6$0.150
  • Balanced −98%
  • Summarise −96%
  • Chat −97%
  • Code gen −98%
  • Agentic −96%
  • 1.0M → 262K context
  • no image, file input
o3 OpenAI1409.2 +71$3.50
  • Balanced −42%
  • Summarise −34%
  • Chat −43%
  • Code gen −45%
  • Agentic −37%
  • 1.0M → 200K context
GPT-5 OpenAI1405.6 +67.4$3.44
  • Balanced −43%
  • Summarise −52%
  • Chat −37%
  • Code gen −36%
  • Agentic −41%
  • 1.0M → 400K context
Qwen3 VL 235B A22B Thinking Qwen1400.6 +62.4$1.30
  • Balanced −78%
  • Summarise −80%
  • Chat −74%
  • Code gen −74%
  • Agentic −71%
  • 1.0M → 131K context
  • 64K → 33K max output
  • no file input
Qwen3.5-Flash Qwen1397.6 +59.4$0.114
  • Balanced −98%
  • Summarise −97%
  • Chat −98%
  • Code gen −98%
  • Agentic −97%
  • no file input
Qwen3.5-35B-A3B Qwen1395.6 +57.4$0.500
  • Balanced −92%
  • Summarise −89%
  • Chat −91%
  • Code gen −91%
  • Agentic −87%
  • 1.0M → 262K context
  • no file input
Claude Haiku 4.5 Anthropic1394.9 +56.7$2.00
  • Balanced −67%
  • Summarise −67%
  • Chat −67%
  • Code gen −67%
  • Agentic −67%
  • 1.0M → 200K context
Qwen3 30B A3B Instruct 2507 Qwen1384.3 +46.1$0.084
  • Balanced −99%
  • Summarise −98%
  • Chat −98%
  • Code gen −99%
  • Agentic −98%
  • 1.0M → 262K context
  • 64K → 32K max output
  • no image, file input
  • no extended reasoning
GLM 4.5 Air Z.ai1382.8 +44.6$0.310
  • Balanced −95%
  • Summarise −95%
  • Chat −94%
  • Code gen −94%
  • Agentic −95%
  • 1.0M → 131K context
  • no image, file input
GPT-4.1 OpenAI1382.3 +44.1$3.50
  • Balanced −42%
  • Summarise −34%
  • Chat −43%
  • Code gen −45%
  • Agentic −37%
  • 64K → 33K max output
  • no extended reasoning
Solar Pro 4 Upstage1376.2 +38$0.052
  • Balanced −99%
  • Summarise −99%
  • Chat −99%
  • Code gen −99%
  • Agentic −99%
  • 1.0M → 524K context
  • no image, file input
DeepSeek V3 0324 DeepSeek1375 +36.8$0.438
  • Balanced −93%
  • Summarise −90%
  • Chat −92%
  • Code gen −93%
  • Agentic −89%
  • 1.0M → 164K context
  • no image, file input
  • no extended reasoning
GLM 4.6V Z.ai1374.7 +36.5$0.450
  • Balanced −93%
  • Summarise −91%
  • Chat −93%
  • Code gen −94%
  • Agentic −92%
  • 1.0M → 131K context
  • 64K → 33K max output
  • no file input
GPT-5 Mini OpenAI1373.4 +35.2$0.688
  • Balanced −89%
  • Summarise −90%
  • Chat −87%
  • Code gen −87%
  • Agentic −88%
  • 1.0M → 400K context
GPT-5.4 Nano OpenAI1372.8 +34.6$0.463
  • Balanced −92%
  • Summarise −93%
  • Chat −92%
  • Code gen −92%
  • Agentic −92%
  • 1.0M → 400K context
R1 DeepSeek1372.7 +34.5$1.15
  • Balanced −81%
  • Summarise −72%
  • Chat −80%
  • Code gen −82%
  • Agentic −70%
  • 1.0M → 64K context
  • 64K → 16K max output
  • no image, file input
Qwen3 Next 80B A3B Thinking Qwen1367.5 +29.3$0.412
  • Balanced −93%
  • Summarise −93%
  • Chat −92%
  • Code gen −92%
  • Agentic −90%
  • 1.0M → 262K context
  • 64K → 33K max output
  • no image, file input
gpt-oss-120b OpenAI1365.6 +27.4$0.070
  • Balanced −99%
  • Summarise −98%
  • Chat −99%
  • Code gen −99%
  • Agentic −98%
  • 1.0M → 131K context
  • no image, file input
Qwen3 235B A22B Qwen1366 +27.8$0.796
  • Balanced −87%
  • Summarise −82%
  • Chat −86%
  • Code gen −87%
  • Agentic −79%
  • 1.0M → 131K context
  • 64K → 8K max output
  • no image, file input
MiniMax M2.5 MiniMax1359 +20.8$0.472
  • Balanced −92%
  • Summarise −91%
  • Chat −93%
  • Code gen −93%
  • Agentic −92%
  • 1.0M → 205K context
  • no image, file input
Gemma 3 27B Google1358.3 +20.1$0.172
  • Balanced −97%
  • Summarise −97%
  • Chat −97%
  • Code gen −97%
  • Agentic −97%
  • 1.0M → 262K context
  • no file input
  • no extended reasoning
Mercury 2 Inception1357.8 +19.6$0.375
  • Balanced −94%
  • Summarise −93%
  • Chat −95%
  • Code gen −95%
  • Agentic −94%
  • 1.0M → 128K context
  • 64K → 50K max output
  • no image, file input
GLM 4.7 Flash Z.ai1352.9 +14.7$0.145
  • Balanced −98%
  • Summarise −98%
  • Chat −97%
  • Code gen −97%
  • Agentic −97%
  • 1.0M → 203K context
  • 64K → 16K max output
  • no image, file input
o4 Mini OpenAI1352.5 +14.3$1.93
  • Balanced −68%
  • Summarise −64%
  • Chat −69%
  • Code gen −70%
  • Agentic −65%
  • 1.0M → 200K context
MiniMax M2 MiniMax1342.1 tie$0.446
  • Balanced −93%
  • Summarise −90%
  • Chat −92%
  • Code gen −93%
  • Agentic −88%
  • 1.0M → 205K context
  • no image, file input
Trinity Large Thinking Arcee1341.9 tie$0.378
  • Balanced −94%
  • Summarise −93%
  • Chat −94%
  • Code gen −94%
  • Agentic −93%
  • 1.0M → 262K context
  • no image, file input
MiniMax M1 MiniMax1341.9 tie$0.963
  • Balanced −84%
  • Summarise −78%
  • Chat −83%
  • Code gen −85%
  • Agentic −75%
  • 64K → 40K max output
  • no image, file input
Qwen3 32B Qwen1340.1 tie$0.130
  • Balanced −98%
  • Summarise −97%
  • Chat −98%
  • Code gen −98%
  • Agentic −97%
  • 1.0M → 131K context
  • 64K → 16K max output
  • no image, file input
GPT-4.1 Mini OpenAI1340.5 tie$0.700
  • Balanced −88%
  • Summarise −87%
  • Chat −89%
  • Code gen −89%
  • Agentic −87%
  • 64K → 33K max output
  • no extended reasoning

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.