Cheaper alternatives to Mistral Large 2407

Mistral LMArena 1266.3 $3.00/M on a balanced workload prices as of 2026-08-28

12 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, 97 score at least as high as Mistral Large 2407 and cost no more under at least one workload. 93 of them are genuinely cheaper; the rest match the price and win on score alone. 12 match or beat it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. 85 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 Mistral Large 2407, it is not generated.

Where it holds

WorkloadMistral Large 2407 $/MBetter and cheaperWith a trade
Balanced$3.001083
Summarise$1.69984
Chat$3.06781
Code gen$4.26782
Agentic$1.53781

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

Intelligence1266.3
Context window131K
Max output105K
Input modestext, file
Tool useyes
Extended reasoningno

A replacement has to clear every line above, not just the score. Full record for Mistral Large 2407.

Better and cheaper, nothing given up 12

Each of these matches or beats Mistral Large 2407 on context, maximum output, input modes, tool use and reasoning, scores at least as high, and costs no more.

#ModelIntelligence$/MHolds under
1Muse Spark 1.1 Meta1478.3 +212$2.00
  • Balanced −33%
  • Summarise −36%
  • Chat −31%
  • Code gen −30%
  • Agentic −32%
2Grok 4.5 xAI1452.3 +186$3.00
  • Balanced same price
3Grok 4.6 xAI1443.7 +177.4$3.00
  • Balanced same price
4GPT-5.6 Luna OpenAI1428.5 +162.2$0.450
  • Balanced −85%
  • Summarise −88%
  • Chat −82%
  • Code gen −82%
  • Agentic −84%
5Mistral Medium 3.5 Mistral1420.9 +154.6$3.00
  • Balanced same price
6GPT-5.4 Mini OpenAI1412.1 +145.8$1.69
  • Balanced −44%
  • Summarise −56%
  • Chat −33%
  • Code gen −31%
  • Agentic −40%
7Grok 4.3 xAI1397.5 +131.2$1.56
  • Balanced −48%
  • Summarise −40%
  • Chat −53%
  • Code gen −55%
  • Agentic −47%
8GPT-5.4 Nano OpenAI1372.8 +106.5$0.463
  • Balanced −85%
  • Summarise −88%
  • Chat −82%
  • Code gen −81%
  • Agentic −84%
9GPT-5 Mini OpenAI1373.4 +107.1$0.688
  • Balanced −77%
  • Summarise −84%
  • Chat −71%
  • Code gen −70%
  • Agentic −75%
10GPT-5 Nano OpenAI1320.3 +54$0.138
  • Balanced −95%
  • Summarise −97%
  • Chat −94%
  • Code gen −94%
  • Agentic −95%
11GPT-5.1 OpenAI1441.4 +175.1$1.37 summarise
  • Summarise −19%
12GPT-5 OpenAI1405.6 +139.3$1.37 summarise
  • Summarise −19%

Cheaper and higher-scoring, but you give something up 85

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
Gemini 3.7 Flash Google1490.2 +223.9$0.750
  • Balanced −75%
  • Summarise −79%
  • Chat −71%
  • Code gen −71%
  • Agentic −74%
  • 105K → 66K max output
Qwen3.8 Max Qwen1481.9 +215.6$3.00
  • Balanced same price
  • no file input
Gemini 3.6 Flash Google1476.5 +210.2$1.50
  • Balanced −50%
  • Summarise −58%
  • Chat −43%
  • Code gen −41%
  • Agentic −48%
  • 105K → 66K max output
GLM 5.3 Z.ai1476.9 +210.6$2.15
  • Balanced −28%
  • Summarise −27%
  • Chat −26%
  • Code gen −27%
  • Agentic −23%
  • no file input
MiMo-V2.5-Pro Xiaomi1465 +198.7$0.544
  • Balanced −82%
  • Summarise −80%
  • Chat −84%
  • Code gen −84%
  • Agentic −84%
  • no file input
GLM 5.2 Z.ai1465.4 +199.1$1.83
  • Balanced −39%
  • Summarise −38%
  • Chat −37%
  • Code gen −38%
  • Agentic −35%
  • no file input
GLM 5.1 Z.ai1464.1 +197.8$1.94
  • Balanced −36%
  • Summarise −35%
  • Chat −34%
  • Code gen −34%
  • Agentic −31%
  • no file input
Qwen3.7 Plus Qwen1456.2 +189.9$0.560
  • Balanced −81%
  • Summarise −83%
  • Chat −80%
  • Code gen −79%
  • Agentic −80%
  • no file input
Kimi K2.6 Moonshot AI1455 +188.7$1.71
  • Balanced −43%
  • Summarise −48%
  • Chat −37%
  • Code gen −36%
  • Agentic −39%
  • no file input
Kimi K2.5 Moonshot AI1445.2 +178.9$0.900
  • Balanced −70%
  • Summarise −74%
  • Chat −65%
  • Code gen −65%
  • Agentic −68%
  • no file input
GLM 5 Z.ai1445.2 +178.9$0.930
  • Balanced −69%
  • Summarise −69%
  • Chat −68%
  • Code gen −68%
  • Agentic −66%
  • no file input
Gemma 4 31B Google1441.7 +175.4$0.152
  • Balanced −95%
  • Summarise −95%
  • Chat −94%
  • Code gen −94%
  • Agentic −93%
  • 105K → 16K max output
  • no file input
Hy3 Tencent1441.2 +174.9$0.144
  • Balanced −95%
  • Summarise −95%
  • Chat −95%
  • Code gen −95%
  • Agentic −95%
  • no file input
Qwen3.6 Max Preview Qwen1446.3 +180$2.31
  • Balanced −23%
  • Summarise −24%
  • Code gen −3%
  • 105K → 66K max output
  • no file input
Qwen3.8 27B Qwen1440.8 +174.5$0.956
  • Balanced −68%
  • Summarise −74%
  • Chat −62%
  • Code gen −61%
  • Agentic −65%
  • no file input
GLM 4.6 Z.ai1439.8 +173.5$0.875
  • Balanced −71%
  • Summarise −73%
  • Chat −68%
  • Code gen −68%
  • Agentic −68%
  • no file input
DeepSeek V4 Pro 0423 DeepSeek1439.2 +172.9$1.09
  • Balanced −64%
  • Summarise −59%
  • Chat −68%
  • Code gen −69%
  • Agentic −66%
  • no file input
Qwen3.5 397B A17B Qwen1438.3 +172$0.877
  • Balanced −71%
  • Summarise −71%
  • Chat −62%
  • Code gen −63%
  • Agentic −55%
  • 105K → 66K max output
  • no file input
Qwen3.6 Plus Qwen1436.8 +170.5$0.731
  • Balanced −76%
  • Summarise −76%
  • Chat −68%
  • Code gen −69%
  • Agentic −63%
  • 105K → 66K max output
  • no file input
Gemma 4 26B A4B Google1434.6 +168.3$0.138
  • Balanced −95%
  • Summarise −95%
  • Chat −94%
  • Code gen −95%
  • Agentic −93%
  • 105K → 16K max output
  • no file input
Gemini 3.5 Flash Lite Google1436.5 +170.2$0.850
  • Balanced −72%
  • Summarise −80%
  • Chat −64%
  • Code gen −62%
  • Agentic −69%
  • 105K → 66K max output
Inkling Thinking Machines1439.2 +172.9$1.73
  • Balanced −43%
  • Summarise −48%
  • Chat −36%
  • Code gen −35%
  • Agentic −38%
  • no file input
MiniMax M3 MiniMax1434.8 +168.5$0.525
  • Balanced −83%
  • Summarise −84%
  • Chat −81%
  • Code gen −81%
  • Agentic −81%
  • no file input
GLM 4.7 Z.ai1435.3 +169$0.738
  • Balanced −75%
  • Summarise −78%
  • Chat −72%
  • Code gen −72%
  • Agentic −73%
  • no file input
DeepSeek V4 Flash 0423 DeepSeek1431.6 +165.3$0.101
  • Balanced −97%
  • Summarise −96%
  • Chat −97%
  • Code gen −97%
  • Agentic −96%
  • no file input
GLM 5V Turbo Z.ai1436.8 +170.5$1.90
  • Balanced −37%
  • Summarise −37%
  • Chat −34%
  • Code gen −34%
  • Agentic −31%
  • no file input
MiMo-V2.5 Xiaomi1427.3 +161$0.175
  • Balanced −94%
  • Summarise −94%
  • Chat −95%
  • Code gen −95%
  • Agentic −95%
  • no file input
GLM 4.5 Z.ai1429.4 +163.1$1.00
  • Balanced −67%
  • Summarise −68%
  • Chat −64%
  • Code gen −64%
  • Agentic −64%
  • 105K → 98K max output
  • no file input
R1 0528 DeepSeek1427.9 +161.6$0.912
  • Balanced −70%
  • Summarise −68%
  • Chat −64%
  • Code gen −65%
  • Agentic −57%
  • 105K → 33K max output
  • no file input
DeepSeek V3.2 DeepSeek1424.6 +158.3$0.290
  • Balanced −90%
  • Summarise −86%
  • Chat −91%
  • Code gen −92%
  • Agentic −87%
  • no file input
DeepSeek V3.2 Exp DeepSeek1424.4 +158.1$0.305
  • Balanced −90%
  • Summarise −84%
  • Chat −89%
  • Code gen −92%
  • Agentic −81%
  • 105K → 66K max output
  • no file input
Qwen3 VL 235B A22B Instruct Qwen1420.9 +154.6$0.632
  • Balanced −79%
  • Summarise −84%
  • Chat −72%
  • Code gen −71%
  • Agentic −74%
  • 105K → 33K max output
  • no file input
Qwen3 235B A22B Instruct 2507 Qwen1419.3 +153$0.205
  • Balanced −93%
  • Summarise −93%
  • Chat −91%
  • Code gen −91%
  • Agentic −90%
  • 105K → 16K max output
  • no file input
DeepSeek V3.1 Terminus DeepSeek1419.6 +153.3$0.453
  • Balanced −85%
  • Summarise −84%
  • Chat −83%
  • Code gen −84%
  • Agentic −80%
  • 105K → 33K max output
  • no file input
Qwen3 Next 80B A3B Instruct Qwen1418.6 +152.3$0.350
  • Balanced −88%
  • Summarise −92%
  • Chat −84%
  • Code gen −84%
  • Agentic −85%
  • no file input
DeepSeek V3.1 DeepSeek1419.1 +152.8$0.825
  • Balanced −73%
  • Summarise −64%
  • Chat −68%
  • Code gen −72%
  • Agentic −53%
  • no file input
Qwen3.5-122B-A10B Qwen1417.9 +151.6$0.715
  • Balanced −76%
  • Summarise −79%
  • Chat −68%
  • Code gen −68%
  • Agentic −65%
  • no file input
Gemini 2.5 Flash Google1417.3 +151$0.850
  • Balanced −72%
  • Summarise −80%
  • Chat −64%
  • Code gen −62%
  • Agentic −69%
  • 105K → 66K max output
Gemini 3.1 Flash Lite Preview Google1414.8 +148.5$0.563
  • Balanced −81%
  • Summarise −85%
  • Chat −78%
  • Code gen −77%
  • Agentic −80%
  • 105K → 66K max output
Qwen3 235B A22B Thinking 2507 Qwen1413.8 +147.5$0.748
  • Balanced −75%
  • Summarise −80%
  • Chat −65%
  • Code gen −65%
  • Agentic −65%
  • no file input
Inkling Small Thinking Machines1411.7 +145.4$0.637
  • Balanced −79%
  • Summarise −77%
  • Chat −79%
  • Code gen −80%
  • Agentic −77%
  • no file input
Qwen3 Max Qwen1412.7 +146.4$1.56
  • Balanced −48%
  • Summarise −55%
  • Chat −40%
  • Code gen −39%
  • Agentic −43%
  • 105K → 66K max output
  • no file input
Qwen3.5-27B Qwen1407.9 +141.6$0.536
  • Balanced −82%
  • Summarise −84%
  • Chat −76%
  • Code gen −76%
  • Agentic −74%
  • 105K → 66K max output
  • no file input
MiniMax M2.7 MiniMax1405.3 +139$0.525
  • Balanced −83%
  • Summarise −84%
  • Chat −81%
  • Code gen −81%
  • Agentic −81%
  • no file input
Step 3.5 Flash StepFun1403.8 +137.5$0.150
  • Balanced −95%
  • Summarise −93%
  • Chat −94%
  • Code gen −95%
  • Agentic −91%
  • 105K → 66K max output
  • no file input
Qwen3.5-Flash Qwen1397.6 +131.3$0.114
  • Balanced −96%
  • Summarise −96%
  • Chat −95%
  • Code gen −96%
  • Agentic −94%
  • 105K → 66K max output
  • no file input
Qwen3 VL 235B A22B Thinking Qwen1400.6 +134.3$1.30
  • Balanced −57%
  • Summarise −66%
  • Chat −40%
  • Code gen −40%
  • Agentic −39%
  • 105K → 33K max output
  • no file input
Qwen3.5-35B-A3B Qwen1395.6 +129.3$0.500
  • Balanced −83%
  • Summarise −82%
  • Chat −79%
  • Code gen −80%
  • Agentic −74%
  • no file input
Claude Haiku 4.5 Anthropic1394.9 +128.6$2.00
  • Balanced −33%
  • Summarise −44%
  • Chat −24%
  • Code gen −22%
  • Agentic −30%
  • 105K → 64K max output
Qwen3 30B A3B Instruct 2507 Qwen1384.3 +118$0.084
  • Balanced −97%
  • Summarise −97%
  • Chat −97%
  • Code gen −97%
  • Agentic −95%
  • 105K → 32K max output
  • no file input
GLM 4.5 Air Z.ai1382.8 +116.5$0.310
  • Balanced −90%
  • Summarise −92%
  • Chat −87%
  • Code gen −87%
  • Agentic −89%
  • 105K → 98K max output
  • no file input
Solar Pro 4 Upstage1376.2 +109.9$0.052
  • Balanced −98%
  • Summarise −98%
  • Chat −98%
  • Code gen −98%
  • Agentic −98%
  • no file input
DeepSeek V3 0324 DeepSeek1375 +108.7$0.438
  • Balanced −85%
  • Summarise −83%
  • Chat −82%
  • Code gen −84%
  • Agentic −76%
  • no file input
GLM 4.6V Z.ai1374.7 +108.4$0.450
  • Balanced −85%
  • Summarise −85%
  • Chat −85%
  • Code gen −85%
  • Agentic −84%
  • 105K → 33K max output
  • no file input
R1 DeepSeek1372.7 +106.4$1.15
  • Balanced −62%
  • Summarise −53%
  • Chat −54%
  • Code gen −58%
  • Agentic −37%
  • 131K → 64K context
  • 105K → 16K max output
  • no file input
Qwen3 Next 80B A3B Thinking Qwen1367.5 +101.2$0.412
  • Balanced −86%
  • Summarise −88%
  • Chat −81%
  • Code gen −82%
  • Agentic −80%
  • 105K → 33K max output
  • no file input
gpt-oss-120b OpenAI1365.6 +99.3$0.070
  • Balanced −98%
  • Summarise −97%
  • Chat −97%
  • Code gen −97%
  • Agentic −96%
  • no file input
Qwen3 235B A22B Qwen1366 +99.7$0.796
  • Balanced −73%
  • Summarise −69%
  • Chat −67%
  • Code gen −70%
  • Agentic −57%
  • 105K → 8K max output
  • no file input
Nova 2 Lite Amazon1362.2 +95.9$0.850
  • Balanced −72%
  • Summarise −76%
  • Chat −61%
  • Code gen −62%
  • Agentic −59%
  • 105K → 66K max output
Gemma 3 27B Google1358.3 +92$0.172
  • Balanced −94%
  • Summarise −95%
  • Chat −93%
  • Code gen −93%
  • Agentic −93%
  • no file input
MiniMax M2.5 MiniMax1359 +92.7$0.472
  • Balanced −84%
  • Summarise −86%
  • Chat −83%
  • Code gen −83%
  • Agentic −84%
  • no file input
Mercury 2 Inception1357.8 +91.5$0.375
  • Balanced −88%
  • Summarise −87%
  • Chat −88%
  • Code gen −88%
  • Agentic −88%
  • 131K → 128K context
  • 105K → 50K max output
  • no file input
GLM 4.7 Flash Z.ai1352.9 +86.6$0.145
  • Balanced −95%
  • Summarise −96%
  • Chat −94%
  • Code gen −94%
  • Agentic −95%
  • 105K → 16K max output
  • no file input
o4 Mini OpenAI1352.5 +86.2$1.93
  • Balanced −36%
  • Summarise −39%
  • Chat −29%
  • Code gen −29%
  • Agentic −28%
  • 105K → 100K max output
Trinity Large Thinking Arcee1341.9 +75.6$0.378
  • Balanced −87%
  • Summarise −88%
  • Chat −86%
  • Code gen −86%
  • Agentic −86%
  • no file input
MiniMax M2 MiniMax1342.1 +75.8$0.446
  • Balanced −85%
  • Summarise −83%
  • Chat −82%
  • Code gen −83%
  • Agentic −76%
  • no file input
Qwen3 32B Qwen1340.1 +73.8$0.130
  • Balanced −96%
  • Summarise −95%
  • Chat −95%
  • Code gen −95%
  • Agentic −93%
  • 105K → 16K max output
  • no file input
MiniMax M1 MiniMax1341.9 +75.6$0.963
  • Balanced −68%
  • Summarise −63%
  • Chat −60%
  • Code gen −64%
  • Agentic −48%
  • 105K → 40K max output
  • no file input
GPT-4.1 Mini OpenAI1340.5 +74.2$0.700
  • Balanced −77%
  • Summarise −78%
  • Chat −74%
  • Code gen −74%
  • Agentic −74%
  • 105K → 33K max output
Gemma 3 12B Google1334.2 +67.9$0.075
  • Balanced −98%
  • Summarise −97%
  • Chat −97%
  • Code gen −97%
  • Agentic −96%
  • 105K → 16K max output
  • no file input
DeepSeek V3 DeepSeek1332.6 +66.3$0.450
  • Balanced −85%
  • Summarise −82%
  • Chat −82%
  • Code gen −83%
  • Agentic −76%
  • 105K → 16K max output
  • no file input
GLM 4.5V Z.ai1333.6 +67.3$0.900
  • Balanced −70%
  • Summarise −69%
  • Chat −70%
  • Code gen −70%
  • Agentic −68%
  • 131K → 66K context
  • 105K → 16K max output
  • no file input
o3 Mini High OpenAI1336.6 +70.3$1.93
  • Balanced −36%
  • Summarise −34%
  • Chat −26%
  • Code gen −29%
  • Agentic −17%
  • 105K → 100K max output
Qwen3 30B A3B Qwen1316.9 +50.6$0.215
  • Balanced −93%
  • Summarise −92%
  • Chat −91%
  • Code gen −92%
  • Agentic −88%
  • 105K → 16K max output
  • no file input
o3 Mini OpenAI1319.2 +52.9$1.93
  • Balanced −36%
  • Summarise −34%
  • Chat −26%
  • Code gen −29%
  • Agentic −17%
  • 105K → 100K max output
Olmo 3 32B Think Allen AI1298.5 +32.2$0.237
  • Balanced −92%
  • Summarise −90%
  • Chat −91%
  • Code gen −92%
  • Agentic −87%
  • 131K → 66K context
  • 105K → 59K max output
  • no file input
  • no tool use
Granite 4.1 8B IBM1291.6 +25.3$0.063
  • Balanced −98%
  • Summarise −97%
  • Chat −98%
  • Code gen −98%
  • Agentic −96%
  • no file input
Gemma 3 4B Google1290.8 +24.5$0.063
  • Balanced −98%
  • Summarise −97%
  • Chat −98%
  • Code gen −98%
  • Agentic −96%
  • 105K → 16K max output
  • no file input
  • no tool use
gpt-oss-20b OpenAI1287.8 +21.5$0.055
  • Balanced −98%
  • Summarise −98%
  • Chat −98%
  • Code gen −98%
  • Agentic −97%
  • no file input
GPT-4o-mini (2024-07-18) OpenAI1286.6 +20.3$0.263
  • Balanced −91%
  • Summarise −91%
  • Chat −90%
  • Code gen −90%
  • Agentic −89%
  • 131K → 128K context
  • 105K → 16K max output
GPT-4.1 Nano OpenAI1284.8 +18.5$0.175
  • Balanced −94%
  • Summarise −94%
  • Chat −94%
  • Code gen −94%
  • Agentic −93%
  • 105K → 33K max output
Llama 3.3 70B Instruct Meta1274.9 tie$0.710
  • Balanced −76%
  • Summarise −58%
  • Chat −77%
  • Code gen −83%
  • Agentic −54%
  • no file input
Qwen2.5 72B Instruct Qwen1269.1 tie$0.370
  • Balanced −88%
  • Summarise −79%
  • Chat −88%
  • Code gen −91%
  • Agentic −76%
  • 131K → 33K context
  • 105K → 16K max output
  • no file input
Gemini 3.5 Flash Google1482.6 +216.3$1.49 summarise
  • Summarise −12%
  • 105K → 66K max output
Gemini 2.5 Pro Google1457.3 +191$1.37 summarise
  • Summarise −19%
  • 105K → 66K max output

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.