Cheaper alternatives to Gemini 3.1 Pro Preview

Google LMArena 1479.5 $4.50/M on a balanced workload prices as of 2026-08-28

2 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, 3 score at least as high as Gemini 3.1 Pro Preview and cost no more under at least one workload. 2 match or beat it on every capability we hold — context, maximum output, input modes, tool use and extended reasoning. 1 does 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 Gemini 3.1 Pro Preview, it is not generated.

Where it holds

WorkloadGemini 3.1 Pro Preview $/MBetter and cheaperWith a trade
Balanced$4.5021
Summarise$1.9921
Chat$5.4621
Code gen$7.8621
Agentic$2.4321

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

Intelligence1479.5
Context window1.0M
Max output66K
Input modesaudio, file, image, text, video
Tool useyes
Extended reasoningyes

A replacement has to clear every line above, not just the score. Full record for Gemini 3.1 Pro Preview.

Better and cheaper, nothing given up 2

Each of these matches or beats Gemini 3.1 Pro Preview on context, maximum output, input modes, tool use and reasoning, scores at least as high, and costs no more.

#ModelIntelligence$/MHolds under
1Gemini 3.7 Flash Google1490.2 +10.7$0.750
  • Balanced −83%
  • Summarise −82%
  • Chat −84%
  • Code gen −84%
  • Agentic −84%
2Gemini 3.5 Flash Google1482.6 tie$3.38
  • Balanced −25%
  • Summarise −25%
  • Chat −25%
  • Code gen −25%
  • Agentic −25%

Cheaper and higher-scoring, but you give something up 1

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
Qwen3.8 Max Qwen1481.9 tie$3.00
  • Balanced −33%
  • Summarise −14%
  • Chat −44%
  • Code gen −46%
  • Agentic −36%
  • 1.0M → 1.0M context
  • no audio, file 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 ±10.68 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.