LLM Reference

Gemini 3.1 Pro Preview vs Qwen3-105B

Gemini 3.1 Pro Preview (2026) and Qwen3-105B (2025) are compact production models from Google DeepMind and Alibaba. Gemini 3.1 Pro Preview ships a 1m-token context window, while Qwen3-105B ships a 128k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.

Gemini 3.1 Pro Preview fits 8x more tokens; pick it for long-context work and Qwen3-105B for tighter calls.

Decision scorecard

Local evidence first
SignalGemini 3.1 Pro PreviewQwen3-105B
Best formultimodal apps, tool-calling agents, and long-context analysistool-calling agents
Decision fitCoding, RAG, and AgentsRAG, Agents, and Long context
Context window1m128k
Cheapest output$12/1M tokens-
Provider routes5 tracked0 tracked
Shared benchmarks0 rows0 rows

Decision tradeoffs

Choose Gemini 3.1 Pro Preview when...
  • 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 procurement flexibility.
  • Gemini 3.1 Pro Preview uniquely exposes Vision, Multimodal, and Structured outputs in local model data.
  • Local decision data tags Gemini 3.1 Pro Preview for Coding, RAG, and Agents.
Choose Qwen3-105B when...
  • Local decision data tags Qwen3-105B for RAG, Agents, and Long context.

Monthly cost at traffic

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

Gemini 3.1 Pro Preview

$4,600

Cheapest tracked route/tier: Google AI Studio

Qwen3-105B

Unavailable

No complete token price in local provider data

Cost delta unavailable until both models have sourced input and output token prices.

Switch friction

Gemini 3.1 Pro Preview -> Qwen3-105B
  • No overlapping tracked provider route is sourced for Gemini 3.1 Pro Preview and Qwen3-105B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Vision, Multimodal, and Structured outputs before moving production traffic.
Qwen3-105B -> Gemini 3.1 Pro Preview
  • No overlapping tracked provider route is sourced for Qwen3-105B and Gemini 3.1 Pro Preview; plan for SDK, billing, or endpoint changes.
  • Gemini 3.1 Pro Preview adds Vision, Multimodal, and Structured outputs in local capability data.

Specs

Specification
Released2026-02-192025-12-15
Context window1m128k
Parameters105B
Architecturedecoder only-
LicenseProprietaryApache 2.0(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2025-012025-02

Pricing and availability

Pricing attributeGemini 3.1 Pro PreviewQwen3-105B
Input price
0-200,001t
$2/1M tokens
200,001t+
$4/1M tokens
-
Output price
0-200,001t
$12/1M tokens
200,001t+
$18/1M tokens
-
Providers-

Capabilities

CapabilityGemini 3.1 Pro PreviewQwen3-105B
VisionYesNo
MultimodalYesNo
ReasoningNoNo
Function callingYesYes
Tool useYesYes
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

No shared benchmark rows are currently sourced for this pair.

Deep dive

The capability footprint differs most on vision: Gemini 3.1 Pro Preview, multimodal input: Gemini 3.1 Pro Preview, structured outputs: Gemini 3.1 Pro Preview, and code execution: Gemini 3.1 Pro Preview. Both models share function calling and tool use, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.

Pricing coverage is uneven: Gemini 3.1 Pro Preview has $2/1M input tokens and Qwen3-105B has no token price sourced yet. Provider availability is 5 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose Gemini 3.1 Pro Preview when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3-105B when provider fit are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.

FAQ

Which has a larger context window, Gemini 3.1 Pro Preview or Qwen3-105B?

Gemini 3.1 Pro Preview supports 1m tokens, while Qwen3-105B supports 128k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.

Is Gemini 3.1 Pro Preview or Qwen3-105B open source?

Gemini 3.1 Pro Preview is listed under Proprietary. Qwen3-105B is listed under Apache 2.0. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.

Which is better for vision, Gemini 3.1 Pro Preview or Qwen3-105B?

Gemini 3.1 Pro Preview has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for multimodal input, Gemini 3.1 Pro Preview or Qwen3-105B?

Gemini 3.1 Pro Preview has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Which is better for function calling, Gemini 3.1 Pro Preview or Qwen3-105B?

Both Gemini 3.1 Pro Preview and Qwen3-105B expose function calling. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface.

Where can I run Gemini 3.1 Pro Preview and Qwen3-105B?

Gemini 3.1 Pro Preview is available on Google AI Studio, GCP Vertex AI, OpenRouter, Replicate API, and Vercel AI Gateway. Qwen3-105B is available on the tracked providers still being sourced. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-05-22. Data sourced from public model cards and provider documentation.