LLM Reference

GPT-4.1 vs GPT-5.5

GPT-4.1 (2025) and GPT-5.5 (2026) are frontier reasoning models from OpenAI. GPT-4.1 ships a 1.05m-token context window, while GPT-5.5 ships a 1.05m-token context window. On MMLU PRO, GPT-5.5 leads by 6.3 pts. On pricing, GPT-4.1 costs $2/1M input tokens; GPT-5.5 ranges from $5 to $10/1M input tokens by tier. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads.

GPT-5.5 is safer overall; choose GPT-4.1 when coding workflow support matters.

Decision scorecard

Local evidence first
SignalGPT-4.1GPT-5.5
Best formultimodal apps, tool-calling agents, and long-context analysisreasoning-heavy apps, multimodal apps, and tool-calling agents
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1.05m1.05m
Cheapest output$8/1M tokens$30/1M tokens
Provider routes4 tracked3 tracked
Shared benchmarks3 rowsMMLU PRO leader

Decision tradeoffs

Choose GPT-4.1 when...
  • GPT-4.1 has the lower cheapest tracked output price at $8/1M tokens.
  • GPT-4.1 has broader tracked provider coverage for fallback and procurement flexibility.
  • Local decision data tags GPT-4.1 for Coding, RAG, and Agents.
Choose GPT-5.5 when...
  • GPT-5.5 leads the largest shared benchmark signal on MMLU PRO by 6.3 points.
  • GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.5 uniquely exposes Reasoning in local model data.
  • Local decision data tags GPT-5.5 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 GPT-4.1

GPT-4.1

$3,600

Cheapest tracked route/tier: OpenRouter

GPT-5.5

$11,500

Cheapest tracked route/tier: OpenAI API 0-272K input tokens

Estimated monthly gap: $7,900. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-4.1 -> GPT-5.5
  • Provider overlap exists on OpenAI API, OpenRouter, and Vercel AI Gateway; start route-level A/B tests there.
  • GPT-5.5 is $22/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.5 adds Reasoning in local capability data.
GPT-5.5 -> GPT-4.1
  • Provider overlap exists on OpenRouter, OpenAI API, and Vercel AI Gateway; start route-level A/B tests there.
  • GPT-4.1 is $22/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Reasoning before moving production traffic.

Specs

Specification
Released2025-04-012026-04-23
Context window1.05m1.05m
Parameters
Architecturedecoder onlydecoder only
LicenseProprietaryProprietary
Knowledge cutoff2025-012025-12

Pricing and availability

Pricing attributeGPT-4.1GPT-5.5
Input price$2/1M tokens
0-272K input tokens
$5/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
0-272,000t
$5/1M tokens
272K+ input tokens
$8/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
272,000t+
$10/1M tokens
Output price$8/1M tokens
0-272K input tokens
$30/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
0-272,000t
$30/1M tokens
272K+ input tokens
$36/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
272,000t+
$45/1M tokens
Providers

Capabilities

CapabilityGPT-4.1GPT-5.5
VisionYesYes
MultimodalYesYes
ReasoningNoYes
Function callingYesYes
Tool useYesYes
Structured outputsYesYes
Code executionYesYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGPT-4.1GPT-5.5
MMLU PRO81.888.1
SWE-bench Verified54.682.6
HumanEval92.994.2

Deep dive

On shared benchmark coverage, MMLU PRO has GPT-4.1 at 81.8 and GPT-5.5 at 88.1, with GPT-5.5 ahead by 6.3 points; SWE-bench Verified has GPT-4.1 at 54.6 and GPT-5.5 at 82.6, with GPT-5.5 ahead by 28.0 points; HumanEval has GPT-4.1 at 92.9 and GPT-5.5 at 94.2, with GPT-5.5 ahead by 1.3 points. The largest visible gap is 28.0 points on SWE-bench Verified, 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-5.5. 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, GPT-4.1 lists $2/1M input and $8/1M output tokens on the cheapest tracked provider, while GPT-5.5 lists tiered pricing: 0-272K input tokens is $5/1M input and $30/1M output; 0-272,000t is $5/1M input and $30/1M output; 272K+ input tokens is $8/1M input and $36/1M output; 272,000t+ is $10/1M input and $45/1M output. A 70/30 input-output blend puts GPT-4.1 lower by about $8.70 per million blended tokens. For tiered rows, this cheapest-track view can understate interactive or fast-lane spend, so compare the tier you will actually use. Availability is 4 providers versus 3, so concentration risk also matters.

Choose GPT-4.1 when coding workflow support, lower input-token cost, and broader provider choice are central to the workload. Choose GPT-5.5 when coding workflow support and larger context windows 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-4.1 or GPT-5.5?

GPT-5.5 supports 1.05m tokens, while GPT-4.1 supports 1.05m 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.

Which is cheaper, GPT-4.1 or GPT-5.5?

GPT-4.1 lists $2/1M input and $8/1M output tokens on the cheapest tracked provider. GPT-5.5 lists tiered pricing: 0-272K input tokens is $5/1M input and $30/1M output; 0-272,000t is $5/1M input and $30/1M output; 272K+ input tokens is $8/1M input and $36/1M output; 272,000t+ is $10/1M input and $45/1M output. Compare the tier you will actually use; cheap async pricing can overstate savings for interactive workflows. Provider discounts or batch pricing can still change the final bill.

Is GPT-4.1 or GPT-5.5 open source?

GPT-4.1 is listed under Proprietary. GPT-5.5 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, GPT-4.1 or GPT-5.5?

Both GPT-4.1 and GPT-5.5 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-4.1 or GPT-5.5?

Both GPT-4.1 and GPT-5.5 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 GPT-4.1 and GPT-5.5?

GPT-4.1 is available on OpenRouter, Azure OpenAI, OpenAI API, and Vercel AI Gateway. GPT-5.5 is available on OpenAI API, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-06-03. Data sourced from public model cards and provider documentation.