Undominated.ai

Alternatives to Gemini 3.1 Flash Lite Preview

Google LMArena 1415.7 $0.563/M on a balanced workload prices as of 2026-10-06

Every higher-scoring or cheaper alternative has a recorded capability loss.

Of the 144 models carrying both an independent score and a published price at the same delivery mode, 21 score at least as high as Gemini 3.1 Flash Lite Preview and cost no more under at least one listed workload, with at least one of those dimensions improved. 21 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

WorkloadGemini 3.1 Flash Lite Preview $/MRecorded capabilities preservedRecorded capability losses
Balanced$0.563021
Summarise$0.248014
Chat$0.683020
Code gen$0.982020
Agentic$0.304017

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

Intelligence1415.7
Context window1M
Max output65K
Input modestext, image, video, file, audio
Tool useyes
Extended reasoningyes

Preserving recorded capabilities requires matching or beating these fields. Full record for Gemini 3.1 Flash Lite Preview, or check Gemini 3.1 Flash Lite Preview against the whole catalogue.

Alternatives with recorded capability losses 21

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.

ModelIntelligence$/MHolds underRecorded capability loss
MiMo-V2.6-Pro Xiaomi1491 +75.3$0.540
  • Balanced −4%
  • Chat −30%
  • Code gen −33%
  • Agentic −20%
  • no file input
GLM 5.3 Flash Z.ai1469.6 +53.9$0.238
  • Balanced −58%
  • Summarise −46%
  • Chat −63%
  • Code gen −64%
  • Agentic −57%
  • no file, audio input
DeepSeek V4.1 Flash DeepSeek1462.5 +46.8$0.182
  • Balanced −68%
  • Summarise −73%
  • Chat −64%
  • Code gen −63%
  • Agentic −65%
  • no video, file, audio input
MiMo-V2.5-Pro Xiaomi1465 +49.3$0.544
  • Balanced −3%
  • Chat −30%
  • Code gen −33%
  • Agentic −20%
  • no image, video, file, audio input
MiMo-V2.6-Flash Xiaomi1456.4 +40.7$0.175
  • Balanced −69%
  • Summarise −57%
  • Chat −77%
  • Code gen −78%
  • Agentic −74%
  • no file input
Qwen3.7 Plus Qwen1454.6 +38.9$0.560
  • Balanced under 1% less
  • Chat −8%
  • Code gen −11%
  • 1M → 1M context
  • no video, file, audio input
Gemma 4 31B Google1443.4 +27.7$0.205
  • Balanced −64%
  • Summarise −38%
  • Chat −64%
  • Code gen −70%
  • Agentic −41%
  • 1M → 262K context
  • 66K → 16K max output
  • no file, audio input
Hy3 Tencent1440.7 +25$0.231
  • Balanced −59%
  • Summarise −50%
  • Chat −62%
  • Code gen −63%
  • Agentic −56%
  • 1M → 262K context
  • no image, video, file, audio input
Gemma 4 26B A4B Google1433.9 +18.2$0.127
  • Balanced −77%
  • Summarise −72%
  • Chat −78%
  • Code gen −79%
  • Agentic −74%
  • 1M → 262K context
  • no file, audio input
Qwen3.8 27B Qwen1440.7 +25$0.562
  • Balanced under 1% less
  • Summarise −26%
  • 1M → 1M context
  • no file, audio input
DeepSeek V4 Flash 0423 DeepSeek1432.1 +16.4$0.113
  • Balanced −80%
  • Summarise −70%
  • Chat −85%
  • Code gen −86%
  • Agentic −80%
  • no image, video, file, audio input
MiMo-V2.5 Xiaomi1427.5 +11.8$0.175
  • Balanced −69%
  • Summarise −57%
  • Chat −77%
  • Code gen −78%
  • Agentic −74%
  • no file input
MiniMax M3 MiniMax1432.1 +16.4$0.485
  • Balanced −14%
  • Chat −21%
  • Code gen −23%
  • Agentic −11%
  • no file, audio input
GPT-5.6 Luna OpenAI1431 +15.3$0.450
  • Balanced −20%
  • Summarise −20%
  • Chat −20%
  • Code gen −20%
  • Agentic −20%
  • no video, audio input
DeepSeek V3.2 DeepSeek1424.5 tie$0.290
  • Balanced −48%
  • Summarise −8%
  • Chat −61%
  • Code gen −67%
  • Agentic −34%
  • 1M → 164K context
  • no image, video, file, audio input
DeepSeek V3.2 Exp DeepSeek1422.4 tie$0.305
  • Balanced −46%
  • Chat −52%
  • Code gen −64%
  • Agentic −4%
  • 1M → 164K context
  • no image, video, file, audio input
Qwen3 235B A22B Instruct 2507 Qwen1419.3 tie$0.205
  • Balanced −64%
  • Summarise −55%
  • Chat −60%
  • Code gen −63%
  • Agentic −48%
  • 1M → 262K context
  • 66K → 16K max output
  • no image, video, file, audio input
  • no extended reasoning
Qwen3 VL 235B A22B Instruct Qwen1420.1 tie$0.370
  • Balanced −34%
  • Summarise −16%
  • Chat −35%
  • Code gen −39%
  • Agentic −18%
  • 1M → 262K context
  • 66K → 33K max output
  • no video, file, audio input
  • no extended reasoning
Qwen3 Next 80B A3B Instruct Qwen1417.3 tie$0.268
  • Balanced −52%
  • Summarise −47%
  • Chat −46%
  • Code gen −48%
  • Agentic −34%
  • 1M → 262K context
  • no image, video, file, audio input
  • no extended reasoning
DeepSeek V3.1 DeepSeek1419.7 tie$0.453
  • Balanced −20%
  • Chat −18%
  • Code gen −28%
  • 1M → 164K context
  • 66K → 33K max output
  • no image, video, file, audio input
DeepSeek V3.1 Terminus DeepSeek1417.1 tie$0.453
  • Balanced −20%
  • Chat −18%
  • Code gen −28%
  • 1M → 164K context
  • no image, video, file, audio input

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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