LLM Reference

GPT-5.5 vs Grok 4.5

GPT-5.5 (2026) and Grok 4.5 (2026) compare a standalone API model against a coding-specialized model. GPT-5.5 ships a 1.05m-token context window, while Grok 4.5 ships a 500k-token context window. On SWE-bench Pro, Grok 4.5 leads by 6.1 pts. On pricing, GPT-5.5 ranges from $5 to $8/1M input tokens by tier; Grok 4.5 ranges from $2 to $4/1M input tokens by tier. This page treats the result as workflow and deployment fit, not a universal model winner.

Treat this as a product-type comparison: GPT-5.5 is standalone API model, while Grok 4.5 is coding-specialized model. Choose based on workflow fit before reading any benchmark or price row as decisive.

Decision scorecard

Local evidence first
SignalGPT-5.5Grok 4.5
Product typeStandalone API modelCoding-specialized model
Best forreasoning-heavy apps, multimodal apps, and tool-calling agentscustom coding agents, code generation, and tool loops
Decision fitCoding, RAG, and AgentsCoding, RAG, and Agents
Context window1.05m500k
Cheapest output$30/1M tokens$6/1M tokens
Provider routes4 tracked3 tracked
Shared benchmarks2 sharedSWE-bench Pro leader

Decision tradeoffs

Choose GPT-5.5 when...
  • GPT-5.5 has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • GPT-5.5 has broader tracked provider coverage for fallback and procurement flexibility.
  • GPT-5.5 uniquely exposes Structured outputs in local model data.
  • Local decision data tags GPT-5.5 for Coding, RAG, and Agents.
Choose Grok 4.5 when...
  • Grok 4.5 holds a shared-benchmark lead on SWE-bench Pro, ahead by 6.1 points.
  • Grok 4.5 has the lower cheapest tracked output price at $6/1M tokens.
  • Local decision data tags Grok 4.5 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 Grok 4.5

GPT-5.5

$11,500

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

Grok 4.5

$3,100

Cheapest tracked route/tier: xAI Console <=200K prompt tokens

Estimated monthly gap: $8,400. Batch, cache, alternate speed tiers, and negotiated pricing are excluded from this local estimate.

Switch friction

GPT-5.5 -> Grok 4.5
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • Grok 4.5 is $24/1M tokens lower on cheapest tracked output pricing before cache, batch, or negotiated discounts.
  • Check replacement coverage for Structured outputs before moving production traffic.
Grok 4.5 -> GPT-5.5
  • Provider overlap exists on OpenRouter and Vercel AI Gateway; start route-level A/B tests there.
  • GPT-5.5 is $24/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.
  • GPT-5.5 adds Structured outputs in local capability data.

Specs

Specification
Released2026-04-232026-07-08
Context window1.05m500k
Parameters
ArchitectureDecoder Only-
LicenseProprietaryProprietary
OpennessProprietaryProprietary
WeightsNot releasedNot released
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff2025-12-

Pricing and availability

Pricing attributeGPT-5.5Grok 4.5
Input price
0-272K input tokens
$5/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$8/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
<=200K prompt tokens
$2/1M tokens
Standard Grok 4.5 tier for prompts up to 200K tokens; cache_read stores this tier's $0.50/M cached-input price.
>200K prompt tokens
$4/1M tokens
Long-context Grok 4.5 tier for prompts above 200K tokens; cache-read price is $1.00/M per xAI model page payload.
Output price
0-272K input tokens
$30/1M tokens
Standard GPT-5.5 token pricing before the long-context surcharge threshold.
272K+ input tokens
$36/1M tokens
Long-context surcharge applies above 272K input tokens for the full session.
<=200K prompt tokens
$6/1M tokens
Standard Grok 4.5 tier for prompts up to 200K tokens; cache_read stores this tier's $0.50/M cached-input price.
>200K prompt tokens
$12/1M tokens
Long-context Grok 4.5 tier for prompts above 200K tokens; cache-read price is $1.00/M per xAI model page payload.
Providers

Capabilities

CapabilityGPT-5.5Grok 4.5
VisionYesYes
MultimodalYesYes
ReasoningYesYes
Function callingYesYes
Tool useYesYes
Structured outputsYesNo
Code executionYesYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGPT-5.5Grok 4.5
SWE-bench Pro58.664.7
Terminal-Bench 2.178.283.3

Deep dive

On shared benchmark coverage, SWE-bench Pro has GPT-5.5 at 58.6 and Grok 4.5 at 64.7, with Grok 4.5 ahead by 6.1 points; Terminal-Bench 2.1 has GPT-5.5 at 78.2 and Grok 4.5 at 83.3, with Grok 4.5 ahead by 5.1 points. The largest visible gap is 6.1 points on SWE-bench Pro, 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 structured outputs: GPT-5.5. Both models share vision, multimodal input, reasoning mode, and function calling, 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-5.5 lists tiered pricing: 0-272K input tokens is $5/1M input and $30/1M output; 272K+ input tokens is $8/1M input and $36/1M output, while Grok 4.5 lists tiered pricing: <=200K prompt tokens is $2/1M input and $6/1M output; >200K prompt tokens is $4/1M input and $12/1M output. A 70/30 input-output blend puts Grok 4.5 lower by about $9.30 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-5.5 when coding workflow support, larger context windows, and broader provider choice are central to the workload. Choose Grok 4.5 when coding workflow support and lower cheapest-tier input-token cost 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-5.5 or Grok 4.5?

GPT-5.5 supports 1.05m tokens, while Grok 4.5 supports 500k 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-5.5 or Grok 4.5?

GPT-5.5 lists tiered pricing: 0-272K input tokens is $5/1M input and $30/1M output; 272K+ input tokens is $8/1M input and $36/1M output. Grok 4.5 lists tiered pricing: <=200K prompt tokens is $2/1M input and $6/1M output; >200K prompt tokens is $4/1M input and $12/1M 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-5.5 or Grok 4.5 open source?

GPT-5.5 is listed under Proprietary. Grok 4.5 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-5.5 or Grok 4.5?

Both GPT-5.5 and Grok 4.5 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-5.5 or Grok 4.5?

Both GPT-5.5 and Grok 4.5 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-5.5 and Grok 4.5?

GPT-5.5 is available on OpenAI API, OpenRouter, Vercel AI Gateway, and AWS Bedrock. Grok 4.5 is available on xAI Console, OpenRouter, and Vercel AI Gateway. Provider coverage can affect latency, region availability, compliance posture, and fallback options.

Continue comparing

Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.