Cheaper alternatives to MiniMax M1

MiniMax LMArena 1341.9 $0.963/M on a balanced workload prices as of 2026-08-28

16 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, 56 score at least as high as MiniMax M1 and cost no more under at least one workload. 16 match or beat it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. 40 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 MiniMax M1, it is not generated.

Where it holds

Workload	MiniMax M1 $/M	Better and cheaper	With a trade
Balanced	$0.963	15	38
Summarise	$0.632	15	40
Chat	$1.21	16	39
Code gen	$1.54	12	38
Agentic	$0.797	16	39

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	1341.9
Context window	1M
Max output	40K
Input modes	text
Tool use	yes
Extended reasoning	yes

A replacement has to clear every line above, not just the score. Full record for MiniMax M1.

Better and cheaper, nothing given up 16

Each of these matches or beats MiniMax M1 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	Gemini 3.7 Flash Google	1490.2 +148.3	$0.750	Balanced −22% Summarise −44% Chat −28% Code gen −19% Agentic −50%
2	MiMo-V2.5-Pro Xiaomi	1465 +123.1	$0.544	Balanced −44% Summarise −47% Chat −60% Code gen −57% Agentic −69%
3	Qwen3.7 Plus Qwen	1456.2 +114.3	$0.560	Balanced −42% Summarise −53% Chat −48% Code gen −43% Agentic −61%
4	Qwen3.8 27B Qwen	1440.8 +98.9	$0.956	Balanced −1% Summarise −31% Chat −3% Agentic −32%
5	DeepSeek V4 Flash 0423 DeepSeek	1431.6 +89.7	$0.101	Balanced −89% Summarise −89% Chat −92% Code gen −92% Agentic −93%
6	MiniMax M3 MiniMax	1434.8 +92.9	$0.525	Balanced −45% Summarise −56% Chat −51% Code gen −47% Agentic −63%
7	Qwen3.6 Plus Qwen	1436.8 +94.9	$0.731	Balanced −24% Summarise −36% Chat −19% Code gen −16% Agentic −29%
8	Gemini 3.5 Flash Lite Google	1436.5 +94.6	$0.850	Balanced −12% Summarise −47% Chat −9% Agentic −41%
9	MiMo-V2.5 Xiaomi	1427.3 +85.4	$0.175	Balanced −82% Summarise −83% Chat −87% Code gen −86% Agentic −90%
10	GPT-5.6 Luna OpenAI	1428.5 +86.6	$0.450	Balanced −53% Summarise −69% Chat −55% Code gen −49% Agentic −70%
11	Gemini 3.1 Flash Lite Preview Google	1414.8 +72.9	$0.563	Balanced −42% Summarise −61% Chat −44% Code gen −36% Agentic −62%
12	Gemini 2.5 Flash Google	1417.3 +75.4	$0.850	Balanced −12% Summarise −47% Chat −9% Agentic −41%
13	Inkling Small Thinking Machines	1411.7 +69.8	$0.637	Balanced −34% Summarise −39% Chat −47% Code gen −43% Agentic −56%
14	Qwen3.5-Flash Qwen	1397.6 +55.7	$0.114	Balanced −88% Summarise −88% Chat −88% Code gen −88% Agentic −88%
15	Nova 2 Lite Amazon	1362.2 +20.3	$0.850	Balanced −12% Summarise −35% Chat −2% Agentic −21%
16	DeepSeek V4 Pro 0423 DeepSeek	1439.2 +97.3	$0.979 chat	Chat −19% Code gen −14% Agentic −34%

Cheaper and higher-scoring, but you give something up 40

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.

Model	Intelligence	$/M	Holds under	What you give up
Gemma 4 31B Google	1441.7 +99.8	$0.152	Balanced −84% Summarise −86% Chat −85% Code gen −85% Agentic −87%	1.0M → 262K context 40K → 16K max output
Hy3 Tencent	1441.2 +99.3	$0.144	Balanced −85% Summarise −88% Chat −87% Code gen −85% Agentic −90%	1.0M → 262K context
Kimi K2.5 Moonshot AI	1445.2 +103.3	$0.900	Balanced −6% Summarise −32% Chat −13% Code gen −3% Agentic −38%	1.0M → 262K context
GLM 5 Z.ai	1445.2 +103.3	$0.930	Balanced −3% Summarise −16% Chat −19% Code gen −12% Agentic −36%	1.0M → 205K context
Gemma 4 26B A4B Google	1434.6 +92.7	$0.138	Balanced −86% Summarise −87% Chat −85% Code gen −85% Agentic −86%	1.0M → 262K context 40K → 16K max output
GLM 4.6 Z.ai	1439.8 +97.9	$0.875	Balanced −9% Summarise −27% Chat −19% Code gen −11% Agentic −39%	1.0M → 205K context
Qwen3.5 397B A17B Qwen	1438.3 +96.4	$0.877	Balanced −9% Summarise −23% Chat −3% Agentic −14%	1.0M → 262K context
GLM 4.7 Z.ai	1435.3 +93.4	$0.738	Balanced −23% Summarise −41% Chat −30% Code gen −23% Agentic −48%	1.0M → 205K context
DeepSeek V3.2 DeepSeek	1424.6 +82.7	$0.290	Balanced −70% Summarise −64% Chat −78% Code gen −79% Agentic −75%	1.0M → 164K context
DeepSeek V3.2 Exp DeepSeek	1424.4 +82.5	$0.305	Balanced −68% Summarise −56% Chat −73% Code gen −77% Agentic −64%	1.0M → 164K context
R1 0528 DeepSeek	1427.9 +86	$0.912	Balanced −5% Summarise −15% Chat −8% Code gen −4% Agentic −17%	1.0M → 164K context 40K → 33K max output
Qwen3 235B A22B Instruct 2507 Qwen	1419.3 +77.4	$0.205	Balanced −79% Summarise −82% Chat −77% Code gen −76% Agentic −80%	1.0M → 262K context 40K → 16K max output no extended reasoning
Qwen3 Next 80B A3B Instruct Qwen	1418.6 +76.7	$0.350	Balanced −64% Summarise −78% Chat −59% Code gen −55% Agentic −71%	1.0M → 262K context no extended reasoning
DeepSeek V3.1 Terminus DeepSeek	1419.6 +77.7	$0.453	Balanced −53% Summarise −58% Chat −57% Code gen −55% Agentic −62%	1.0M → 164K context 40K → 33K max output
Qwen3 VL 235B A22B Instruct Qwen	1420.9 +79	$0.632	Balanced −34% Summarise −58% Chat −30% Code gen −21% Agentic −50%	1.0M → 262K context 40K → 33K max output no extended reasoning
DeepSeek V3.1 DeepSeek	1419.1 +77.2	$0.825	Balanced −14% Summarise −4% Chat −18% Code gen −21% Agentic −10%	1.0M → 164K context
Qwen3.5-122B-A10B Qwen	1417.9 +76	$0.715	Balanced −26% Summarise −45% Chat −18% Code gen −12% Agentic −33%	1.0M → 262K context
Qwen3 235B A22B Thinking 2507 Qwen	1413.8 +71.9	$0.748	Balanced −22% Summarise −47% Chat −13% Code gen −4% Agentic −32%	1.0M → 131K context
Qwen3.5-27B Qwen	1407.9 +66	$0.536	Balanced −44% Summarise −58% Chat −39% Code gen −34% Agentic −50%	1.0M → 262K context
Step 3.5 Flash StepFun	1403.8 +61.9	$0.150	Balanced −84% Summarise −83% Chat −85% Code gen −86% Agentic −84%	1.0M → 262K context
MiniMax M2.7 MiniMax	1405.3 +63.4	$0.525	Balanced −45% Summarise −56% Chat −51% Code gen −47% Agentic −63%	1.0M → 205K context
Qwen3.5-35B-A3B Qwen	1395.6 +53.7	$0.500	Balanced −48% Summarise −53% Chat −46% Code gen −45% Agentic −50%	1.0M → 262K context
Qwen3 30B A3B Instruct 2507 Qwen	1384.3 +42.4	$0.084	Balanced −91% Summarise −91% Chat −91% Code gen −91% Agentic −91%	1.0M → 262K context 40K → 32K max output no extended reasoning
GLM 4.5 Air Z.ai	1382.8 +40.9	$0.310	Balanced −68% Summarise −78% Chat −68% Code gen −64% Agentic −78%	1.0M → 131K context
Solar Pro 4 Upstage	1376.2 +34.3	$0.052	Balanced −95% Summarise −96% Chat −95% Code gen −95% Agentic −96%	1.0M → 524K context
DeepSeek V3 0324 DeepSeek	1375 +33.1	$0.438	Balanced −55% Summarise −55% Chat −55% Code gen −55% Agentic −55%	1.0M → 164K context no extended reasoning
GLM 4.6V Z.ai	1374.7 +32.8	$0.450	Balanced −53% Summarise −59% Chat −61% Code gen −58% Agentic −69%	1.0M → 131K context 40K → 33K max output
GPT-5.4 Nano OpenAI	1372.8 +30.9	$0.463	Balanced −52% Summarise −68% Chat −53% Code gen −47% Agentic −69%	1.0M → 400K context
GPT-5 Mini OpenAI	1373.4 +31.5	$0.688	Balanced −29% Summarise −57% Chat −27% Code gen −17% Agentic −53%	1.0M → 400K context
gpt-oss-120b OpenAI	1365.6 +23.7	$0.070	Balanced −93% Summarise −93% Chat −93% Code gen −92% Agentic −93%	1.0M → 131K context
Qwen3 Next 80B A3B Thinking Qwen	1367.5 +25.6	$0.412	Balanced −57% Summarise −68% Chat −53% Code gen −49% Agentic −61%	1.0M → 262K context 40K → 33K max output
Qwen3 235B A22B Qwen	1366 +24.1	$0.796	Balanced −17% Summarise −17% Chat −17% Code gen −17% Agentic −17%	1.0M → 131K context 40K → 8K max output
Gemma 3 27B Google	1358.3 +16.4	$0.172	Balanced −82% Summarise −86% Chat −82% Code gen −81% Agentic −86%	1.0M → 262K context no extended reasoning
MiniMax M2.5 MiniMax	1359 +17.1	$0.472	Balanced −51% Summarise −62% Chat −57% Code gen −52% Agentic −69%	1.0M → 205K context
Mercury 2 Inception	1357.8 +15.9	$0.375	Balanced −61% Summarise −67% Chat −68% Code gen −65% Agentic −76%	1.0M → 128K context
GLM 4.7 Flash Z.ai	1352.9 +11	$0.145	Balanced −85% Summarise −90% Chat −85% Code gen −83% Agentic −90%	1.0M → 203K context 40K → 16K max output
Trinity Large Thinking Arcee	1341.9 tie	$0.378	Balanced −61% Summarise −67% Chat −65% Code gen −62% Agentic −73%	1.0M → 262K context
MiniMax M2 MiniMax	1342.1 tie	$0.446	Balanced −54% Summarise −54% Chat −54% Code gen −54% Agentic −54%	1.0M → 205K context
GLM 4.5 Z.ai	1429.4 +87.5	$0.540 summarise	Summarise −15% Chat −10% Code gen −1% Agentic −31%	1.0M → 131K context
Qwen3 VL 235B A22B Thinking Qwen	1400.6 +58.7	$0.580 summarise	Summarise −8%	1.0M → 131K context 40K → 33K 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.