Alternatives to DeepSeek V3

DeepSeek LMArena 1332.5 $0.500/M on a balanced workload prices as of 2026-10-06

41 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, 48 score at least as high as DeepSeek V3 and cost no more under at least one listed workload, with at least one of those dimensions improved. 41 match or beat its recorded context, maximum output, input modes, tool use and extended reasoning. 7 have a recorded capability loss, named on every row.

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	DeepSeek V3 $/M	Recorded capabilities preserved	Recorded capability losses
Balanced	$0.500	27	7
Summarise	$0.329	36	7
Chat	$0.629	34	7
Code gen	$0.800	28	7
Agentic	$0.415	41	7

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	1332.5
Context window	163K
Max output	16K
Input modes	text
Tool use	yes
Extended reasoning	no

Preserving recorded capabilities requires matching or beating these fields. Full record for DeepSeek V3, or check DeepSeek V3 against the whole catalogue.

Recorded capabilities preserved 41

Each option has a higher score or a lower price, with neither dimension worse under the listed workloads. It matches or beats DeepSeek V3 on recorded context, maximum output, input modes, tool use and extended reasoning.

#	Model	Intelligence	$/M	Holds under
1	GLM 5.3 Flash Z.ai	1469.6 +137.1	$0.238	Balanced −53% Summarise −59% Chat −60% Code gen −56% Agentic −68%
2	DeepSeek V4.1 Flash DeepSeek	1462.5 +130	$0.182	Balanced −64% Summarise −80% Chat −61% Code gen −55% Agentic −75%
3	MiMo-V2.6-Flash Xiaomi	1456.4 +123.9	$0.175	Balanced −65% Summarise −67% Chat −75% Code gen −73% Agentic −81%
4	Gemma 4 31B Google	1443.4 +110.9	$0.205	Balanced −59% Summarise −53% Chat −61% Code gen −63% Agentic −57%
5	Hy3 Tencent	1440.7 +108.2	$0.231	Balanced −54% Summarise −62% Chat −59% Code gen −55% Agentic −68%
6	Gemma 4 26B A4B Google	1433.9 +101.4	$0.127	Balanced −75% Summarise −79% Chat −76% Code gen −74% Agentic −81%
7	DeepSeek V4 Flash 0423 DeepSeek	1432.1 +99.6	$0.113	Balanced −78% Summarise −78% Chat −83% Code gen −83% Agentic −85%
8	MiMo-V2.5 Xiaomi	1427.5 +95	$0.175	Balanced −65% Summarise −67% Chat −75% Code gen −73% Agentic −81%
9	MiniMax M3 MiniMax	1432.1 +99.6	$0.485	Balanced −3% Summarise −22% Chat −14% Code gen −6% Agentic −35%
10	GPT-5.6 Luna OpenAI	1431 +98.5	$0.450	Balanced −10% Summarise −40% Chat −13% Code gen −2% Agentic −41%
11	DeepSeek V3.2 DeepSeek	1424.5 +92	$0.290	Balanced −42% Summarise −30% Chat −57% Code gen −60% Agentic −52%
12	DeepSeek V3.2 Exp DeepSeek	1422.4 +89.9	$0.305	Balanced −39% Summarise −16% Chat −48% Code gen −56% Agentic −30%
13	Qwen3 235B A22B Instruct 2507 Qwen	1419.3 +86.8	$0.205	Balanced −59% Summarise −66% Chat −56% Code gen −54% Agentic −62%
14	Qwen3 VL 235B A22B Instruct Qwen	1420.1 +87.6	$0.370	Balanced −26% Summarise −37% Chat −29% Code gen −25% Agentic −40%
15	Qwen3 Next 80B A3B Instruct Qwen	1417.3 +84.8	$0.268	Balanced −46% Summarise −60% Chat −41% Code gen −37% Agentic −52%
16	DeepSeek V3.1 DeepSeek	1419.7 +87.2	$0.453	Balanced −10% Summarise −7% Chat −11% Code gen −12% Agentic −8%
17	DeepSeek V3.1 Terminus DeepSeek	1417.1 +84.6	$0.453	Balanced −10% Summarise −7% Chat −11% Code gen −12% Agentic −8%
18	Step 3.5 Flash StepFun	1403 +70.5	$0.150	Balanced −70% Summarise −67% Chat −71% Code gen −73% Agentic −69%
19	Qwen3.5-Flash Qwen	1397 +64.5	$0.114	Balanced −77% Summarise −77% Chat −77% Code gen −77% Agentic −77%
20	GPT-6 Luna OpenAI	1391.5 +59	$0.200	Balanced −60% Summarise −71% Chat −63% Code gen −58% Agentic −74%
21	Qwen3.5-35B-A3B Qwen	1394.4 +61.9	$0.355	Balanced −29% Summarise −52% Chat −27% Code gen −19% Agentic −48%
22	Qwen3 30B A3B Instruct 2507 Qwen	1384.1 +51.6	$0.143	Balanced −72% Summarise −69% Chat −72% Code gen −73% Agentic −71%
23	DeepSeek V3 0324 DeepSeek	1375 +42.5	$0.438	Balanced −13% Summarise −13% Chat −13% Code gen −13% Agentic −13%
24	GPT-5.4 Nano OpenAI	1372.1 +39.6	$0.463	Balanced −8% Summarise −39% Chat −10% Agentic −40%
25	Qwen3 Next 80B A3B Thinking Qwen	1368.3 +35.8	$0.413	Balanced −18% Summarise −38% Chat −9% Code gen −3% Agentic −26%
26	GLM 4.7 Flash Z.ai	1350.9 +18.4	$0.145	Balanced −71% Summarise −81% Chat −71% Code gen −68% Agentic −80%
27	Trinity Large Thinking Arcee	1340 tie	$0.388	Balanced −23% Summarise −32% Chat −34% Code gen −29% Agentic −47%
28	MiMo-V2.6-Pro Xiaomi	1491 +158.5	$0.478 chat	Chat −24% Code gen −18% Agentic −42%
29	MiMo-V2.5-Pro Xiaomi	1465 +132.5	$0.480 chat	Chat −24% Code gen −17% Agentic −41%
30	Qwen3.7 Plus Qwen	1454.6 +122.1	$0.295 summarise	Summarise −10% Chat under 1% less Agentic −25%
31	Qwen3.8 27B Qwen	1440.7 +108.2	$0.183 summarise	Summarise −44% Agentic −11%
32	GLM 4.7 Z.ai	1435.5 +103	$0.412 agentic	Agentic −1%
33	Gemini 3.1 Flash Lite Preview Google	1415.7 +83.2	$0.248 summarise	Summarise −24% Agentic −27%
34	Inkling Small Thinking Machines	1413.7 +81.2	$0.354 agentic	Agentic −15%
35	Qwen3.5-27B Qwen	1408.9 +76.4	$0.263 summarise	Summarise −20% Agentic −4%
36	MiniMax M2.7 MiniMax	1404.6 +72.1	$0.277 summarise	Summarise −16% Chat −6% Agentic −30%
37	Solar Pro 4 Upstage	1386.2 +53.7	$0.277 summarise	Summarise −16% Chat −6% Agentic −30%
38	GPT-5 Mini OpenAI	1373.2 +40.7	$0.273 summarise	Summarise −17% Agentic −9%
39	MiniMax M2.5 MiniMax	1359.3 +26.8	$0.273 summarise	Summarise −17% Chat −7% Agentic −30%
40	MiniMax M2 MiniMax	1339.9 tie	$0.268 summarise	Summarise −18% Chat −8% Agentic −34%
41	GPT-4.1 Mini OpenAI	1340.4 tie	$0.402 agentic	Agentic −3%

Alternatives with recorded capability losses 7

These improve score or price without worsening the other under the listed workloads, but reduce at least one recorded capability. Read the last column before switching.

Model	Intelligence	$/M	Holds under	Recorded capability loss
GLM 4.5 Air Z.ai	1383.9 +51.4	$0.310	Balanced −38% Summarise −59% Chat −39% Code gen −31% Agentic −58%	164K → 131K context
GLM 4.6V Z.ai	1376.8 +44.3	$0.450	Balanced −10% Summarise −21% Chat −26% Code gen −20% Agentic −42%	164K → 131K context
gpt-oss-120b OpenAI	1365.4 +32.9	$0.065	Balanced −87% Summarise −89% Chat −86% Code gen −86% Agentic −88%	164K → 131K context
Gemma 3 27B Google	1357.8 +25.3	$0.100	Balanced −80% Summarise −74% Chat −82% Code gen −84% Agentic −78%	164K → 131K context
Mercury 2 Inception	1355.2 +22.7	$0.375	Balanced −25% Summarise −36% Chat −39% Code gen −34% Agentic −54%	164K → 128K context
Qwen3 32B Qwen	1340.1 tie	$0.130	Balanced −74% Summarise −73% Chat −75% Code gen −75% Agentic −73%	164K → 131K context
Gemma 3 12B Google	1334.2 tie	$0.075	Balanced −85% Summarise −83% Chat −86% Code gen −86% Agentic −84%	164K → 131K context

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.

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