Undominated.ai

Cheaper alternatives to DeepSeek V4 Pro 0423

DeepSeek LMArena 1439.2 $1.09/M on a balanced workload prices as of 2026-08-28

Everything cheaper and higher-scoring gives something up.

Of the 133 models carrying both an independent score and a published price at the same delivery mode, 9 score at least as high as DeepSeek V4 Pro 0423 and cost no more under at least one workload. 9 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 DeepSeek V4 Pro 0423, it is not generated.

Where it holds

WorkloadDeepSeek V4 Pro 0423 $/MBetter and cheaperWith a trade
Balanced$1.0909
Summarise$0.68609
Chat$0.97905
Code gen$1.3305
Agentic$0.52608

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

Intelligence1439.2
Context window1.0M
Max output384K
Input modestext
Tool useyes
Extended reasoningyes

A replacement has to clear every line above, not just the score. Full record for DeepSeek V4 Pro 0423.

Cheaper and higher-scoring, but you give something up 9

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 +51$0.750
  • Balanced −31%
  • Summarise −48%
  • Chat −11%
  • Code gen −6%
  • Agentic −24%
  • 384K → 66K max output
MiMo-V2.5-Pro Xiaomi1465 +25.8$0.544
  • Balanced −50%
  • Summarise −51%
  • Chat −51%
  • Code gen −50%
  • Agentic −54%
  • 384K → 131K max output
Qwen3.7 Plus Qwen1456.2 +17$0.560
  • Balanced −49%
  • Summarise −57%
  • Chat −36%
  • Code gen −34%
  • Agentic −41%
  • 1.0M → 1.0M context
  • 384K → 131K max output
Gemma 4 31B Google1441.7 tie$0.152
  • Balanced −86%
  • Summarise −87%
  • Chat −82%
  • Code gen −82%
  • Agentic −80%
  • 1.0M → 262K context
  • 384K → 16K max output
Hy3 Tencent1441.2 tie$0.144
  • Balanced −87%
  • Summarise −89%
  • Chat −83%
  • Code gen −83%
  • Agentic −84%
  • 1.0M → 262K context
  • 384K → 128K max output
Kimi K2.5 Moonshot AI1445.2 tie$0.900
  • Balanced −17%
  • Summarise −37%
  • Agentic −6%
  • 1.0M → 262K context
  • 384K → 236K max output
GLM 5 Z.ai1445.2 tie$0.930
  • Balanced −14%
  • Summarise −23%
  • Agentic −3%
  • 1.0M → 205K context
  • 384K → 128K max output
Qwen3.8 27B Qwen1440.8 tie$0.956
  • Balanced −12%
  • Summarise −37%
  • 1.0M → 1.0M context
  • 384K → 131K max output
GLM 4.6 Z.ai1439.8 tie$0.875
  • Balanced −20%
  • Summarise −33%
  • Agentic −7%
  • 1.0M → 205K context
  • 384K → 131K 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.