Gemini 3 Pro vs GLM-5V-Turbo
Gemini 3 Pro (2025) and GLM-5V-Turbo (2026) are frontier reasoning models from Google DeepMind and Zhipu AI. Gemini 3 Pro ships a 1m-token context window, while GLM-5V-Turbo ships a 200k-token context window. On pricing, GLM-5V-Turbo costs $1.20/1M input tokens versus $1.25/1M for the alternative. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.
Gemini 3 Pro fits 5x more tokens; pick it for long-context work and GLM-5V-Turbo for tighter calls.
Decision scorecard
Local evidence first| Signal | Gemini 3 Pro | GLM-5V-Turbo |
|---|---|---|
| Best for | multimodal apps, tool-calling agents, and long-context analysis | reasoning-heavy apps, multimodal apps, and tool-calling agents |
| Decision fit | Coding, RAG, and Agents | RAG, Agents, and Long context |
| Context window | 1m | 200k |
| Cheapest output | $5/1M tokens | $4/1M tokens |
| Provider routes | 2 tracked | 2 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Gemini 3 Pro has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Gemini 3 Pro uniquely exposes Code execution in local model data.
- Local decision data tags Gemini 3 Pro for Coding, RAG, and Agents.
- GLM-5V-Turbo has the lower cheapest tracked output price at $4/1M tokens.
- GLM-5V-Turbo uniquely exposes Reasoning and Structured outputs in local model data.
- Local decision data tags GLM-5V-Turbo 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 Pro
$2,250
Cheapest tracked route/tier: GCP Vertex AI
GLM-5V-Turbo
$1,960
Cheapest tracked route/tier: OpenRouter
Estimated monthly gap: $290. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.
Switch friction
- No overlapping tracked provider route is sourced for Gemini 3 Pro and GLM-5V-Turbo; plan for SDK, billing, or endpoint changes.
- GLM-5V-Turbo is $1/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
- Check replacement coverage for Code execution before moving production traffic.
- GLM-5V-Turbo adds Reasoning and Structured outputs in local capability data.
- No overlapping tracked provider route is sourced for GLM-5V-Turbo and Gemini 3 Pro; plan for SDK, billing, or endpoint changes.
- Gemini 3 Pro is $1/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
- Check replacement coverage for Reasoning and Structured outputs before moving production traffic.
- Gemini 3 Pro adds Code execution in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-12-11 | 2026-04-01 |
| Context window | 1m | 200k |
| Parameters | — | 744B total, 40B active |
| Architecture | decoder only | mixture of experts |
| License | Proprietary | Proprietary |
| Knowledge cutoff | 2025-01 | 2025-11 |
Pricing and availability
| Pricing attribute | Gemini 3 Pro | GLM-5V-Turbo |
|---|---|---|
| Input price | $1.25/1M tokens | $1.20/1M tokens |
| Output price | $5/1M tokens | $4/1M tokens |
| Providers |
Capabilities
| Capability | Gemini 3 Pro | GLM-5V-Turbo |
|---|---|---|
| Vision | Yes | Yes |
| Multimodal | Yes | Yes |
| Reasoning | No | Yes |
| Function calling | Yes | Yes |
| Tool use | Yes | Yes |
| Structured outputs | No | Yes |
| Code execution | Yes | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on reasoning mode: GLM-5V-Turbo, structured outputs: GLM-5V-Turbo, and code execution: Gemini 3 Pro. Both models share vision, multimodal input, 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.
For cost, Gemini 3 Pro lists $1.25/1M input and $5/1M output tokens on the cheapest tracked provider, while GLM-5V-Turbo lists $1.20/1M input and $4/1M output tokens on the cheapest tracked provider. A 70/30 input-output blend puts GLM-5V-Turbo lower by about $0.33 per million blended tokens. Availability is 2 providers versus 2, so concentration risk also matters.
Choose Gemini 3 Pro when coding workflow support and larger context windows are central to the workload. Choose GLM-5V-Turbo when reasoning depth and lower input-token cost 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 Pro or GLM-5V-Turbo?
Gemini 3 Pro supports 1m tokens, while GLM-5V-Turbo supports 200k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Which is cheaper, Gemini 3 Pro or GLM-5V-Turbo?
GLM-5V-Turbo is cheaper on tracked token pricing. Gemini 3 Pro costs $1.25/1M input and $5/1M output tokens. GLM-5V-Turbo costs $1.20/1M input and $4/1M output tokens. Provider discounts or batch pricing can still change the final bill.
Is Gemini 3 Pro or GLM-5V-Turbo open source?
Gemini 3 Pro is listed under Proprietary. GLM-5V-Turbo is listed under Proprietary. 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 Pro or GLM-5V-Turbo?
Both Gemini 3 Pro and GLM-5V-Turbo expose vision. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Gemini 3 Pro or GLM-5V-Turbo?
Both Gemini 3 Pro and GLM-5V-Turbo expose multimodal input. The better choice depends on benchmark fit, context budget, pricing, and whether your provider route exposes the same capability surface. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Where can I run Gemini 3 Pro and GLM-5V-Turbo?
Gemini 3 Pro is available on Replicate API and GCP Vertex AI. GLM-5V-Turbo is available on OpenRouter and Vercel AI Gateway. 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.