LLM Reference

GPT-5 vs Qwen3.5-4B

GPT-5 (2025) and Qwen3.5-4B (2026) are frontier reasoning models from OpenAI and Alibaba. GPT-5 ships a 400k-token context window, while Qwen3.5-4B ships a 262k-token context window. On Google-Proof Q&A, GPT-5 leads by 12.2 pts. 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.

Qwen3.5-4B is safer overall; choose GPT-5 when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGPT-5Qwen3.5-4B
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentsmultimodal apps
Decision fitCoding, RAG, and AgentsCoding, Agents, and Long context
Context window400k262k
Cheapest output$10/1M tokens-
Provider routes4 tracked0 tracked
Shared benchmarksGoogle-Proof Q&A leader1 rows

Decision tradeoffs

Choose GPT-5 when...
  • GPT-5 holds a shared-benchmark lead on Google-Proof Q&A, ahead by 12.2 points.
  • GPT-5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5 has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-5 uniquely exposes Reasoning, Function calling, and Tool use in local model data.
  • Local decision data tags GPT-5 for Coding, RAG, and Agents.
Choose Qwen3.5-4B when...
  • Local decision data tags Qwen3.5-4B for Coding, Agents, and Long context.

Monthly cost at traffic

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

GPT-5

$3,500

Cheapest tracked route/tier: Replicate API

Qwen3.5-4B

Unavailable

No complete token price in local provider data

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

Switch friction

GPT-5 -> Qwen3.5-4B
  • No overlapping tracked provider route is sourced for GPT-5 and Qwen3.5-4B; plan for SDK, billing, or endpoint changes.
  • Check replacement coverage for Reasoning, Function calling, and Tool use before moving production traffic.
Qwen3.5-4B -> GPT-5
  • No overlapping tracked provider route is sourced for Qwen3.5-4B and GPT-5; plan for SDK, billing, or endpoint changes.
  • GPT-5 adds Reasoning, Function calling, and Tool use in local capability data.

Specs

Specification
Released2025-08-072026-03-02
Context window400k262k
Parameters4B
Architecturedecoder only-
LicenseProprietaryApache 2.0(OSI)
OpennessProprietaryOpen source
Commercial useCommercial use with conditionsCommercial use allowed
Knowledge cutoff2024-09-

Pricing and availability

Pricing attributeGPT-5Qwen3.5-4B
Input price$1.25/1M tokens-
Output price$10/1M tokens-
Providers-

Capabilities

CapabilityGPT-5Qwen3.5-4B
VisionYesYes
MultimodalYesYes
ReasoningYesNo
Function callingYesNo
Tool useYesNo
Structured outputsYesNo
Code executionYesNo
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGPT-5Qwen3.5-4B
Google-Proof Q&A88.476.2

Deep dive

On shared benchmark coverage, Google-Proof Q&A has GPT-5 at 88.4 and Qwen3.5-4B at 76.2, with GPT-5 ahead by 12.2 points. The largest visible gap is 12.2 points on Google-Proof Q&A, which matters most when that benchmark mirrors your workload. Treat isolated benchmark wins as directional, because provider routing, prompt style, and tool access can move real application results.

The capability footprint differs most on reasoning mode: GPT-5, function calling: GPT-5, tool use: GPT-5, structured outputs: GPT-5, and code execution: GPT-5. Both models share vision and multimodal input, 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: GPT-5 has $1.25/1M input tokens and Qwen3.5-4B has no token price sourced yet. Provider availability is 4 tracked routes versus 0. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.

Choose GPT-5 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Qwen3.5-4B when vision-heavy evaluation are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship.

FAQ

Which has a larger context window, GPT-5 or Qwen3.5-4B?

GPT-5 supports 400k tokens, while Qwen3.5-4B supports 262k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.

Is GPT-5 or Qwen3.5-4B open source?

GPT-5 is listed under Proprietary. Qwen3.5-4B 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, GPT-5 or Qwen3.5-4B?

Both GPT-5 and Qwen3.5-4B 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, GPT-5 or Qwen3.5-4B?

Both GPT-5 and Qwen3.5-4B 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.

Which is better for reasoning mode, GPT-5 or Qwen3.5-4B?

GPT-5 has the clearer documented reasoning mode signal in this comparison. If reasoning mode is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.

Where can I run GPT-5 and Qwen3.5-4B?

GPT-5 is available on Replicate API, OpenRouter, OpenAI API, and Vercel AI Gateway. Qwen3.5-4B 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.