LLM Reference

Gemini 3.1 Pro Preview vs Qwen3-Max

Gemini 3.1 Pro Preview (2026) and Qwen3-Max (2025) are general-purpose language models from Google DeepMind and Alibaba. Gemini 3.1 Pro Preview ships a 1m-token context window, while Qwen3-Max ships a 262k-token context window. On SWE-bench Verified, Gemini 3.1 Pro Preview leads by 1.8 pts. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

Gemini 3.1 Pro Preview is safer overall; choose Qwen3-Max when vision-heavy evaluation matters.

Decision scorecard

Local evidence first
SignalGemini 3.1 Pro PreviewQwen3-Max
Best formultimodal apps, tool-calling agents, and long-context analysismultimodal apps, tool-calling agents, and provider-routed production
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1m262k
Cheapest output$12/1M tokens$3.90/1M tokens
Provider routes5 tracked3 tracked
Shared benchmarksSWE-bench Verified leader3 shared

Decision tradeoffs

Choose Gemini 3.1 Pro Preview when...
  • Gemini 3.1 Pro Preview holds a shared-benchmark lead on SWE-bench Verified, ahead by 1.8 points.
  • Gemini 3.1 Pro Preview has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Gemini 3.1 Pro Preview has broader tracked provider coverage for fallback and route flexibility.
  • Gemini 3.1 Pro Preview uniquely exposes Code execution in local model data.
  • Local decision data tags Gemini 3.1 Pro Preview for Coding, RAG, and Agents.
Choose Qwen3-Max when...
  • Qwen3-Max holds a shared-benchmark lead on τ-bench, ahead by 0.3 points.
  • Qwen3-Max has the lower cheapest tracked output price at $3.90/1M tokens.
  • Local decision data tags Qwen3-Max for Coding, RAG, and Agents.

Monthly cost at traffic

Estimate token spend from the cheapest tracked input and output route or tier on this page.

Lower estimate Qwen3-Max

Gemini 3.1 Pro Preview

$4,600

Cheapest tracked route/tier: Google AI Studio

Qwen3-Max

$1,599

Cheapest tracked route/tier: OpenRouter

Estimated monthly gap: $3,001. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

Gemini 3.1 Pro Preview -> Qwen3-Max
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Qwen3-Max is $8.10/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Code execution before moving production traffic.
Qwen3-Max -> Gemini 3.1 Pro Preview
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Gemini 3.1 Pro Preview is $8.10/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • Gemini 3.1 Pro Preview adds Code execution in local capability data.

Specs

Specification
Released2026-02-192025-04-28
Context window1m262k
Parameters——
ArchitectureDecoder OnlyDecoder Only
LicenseProprietaryApache 2.0OSI-approved
OpennessProprietaryOpen source
WeightsNot releasedUnknown
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: permitted
Knowledge cutoff2025-012025-12

Pricing and availability

Pricing attributeGemini 3.1 Pro PreviewQwen3-Max
Input price
0-200,001t
$2/1M tokens
200,001t+
$4/1M tokens
0-32,001t
$1.20/1M tokens
0-128,001t
$2.40/1M tokens
128,001t+
$3/1M tokens
Output price
0-200,001t
$12/1M tokens
200,001t+
$18/1M tokens
0-32,001t
$6/1M tokens
0-128,001t
$12/1M tokens
128,001t+
$15/1M tokens
Providers
Google AI StudioGCP Vertex AIOpenRouterReplicate APIVercel AI Gateway
OpenRouterVercel AI GatewayNovita AI

Capabilities

CapabilityGemini 3.1 Pro PreviewQwen3-Max
VisionYesYes
MultimodalYesYes
ReasoningNoNo
JSON / Tool useYesYes
Structured outputsYesYes
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGemini 3.1 Pro PreviewQwen3-Max
SWE-bench Verified80.678.8
MultiChallenge71.441.2
τ-bench76.576.8

Continue comparing

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Last reviewed: 2026-06-29. Data sourced from public model cards and provider documentation.