LLM Reference

GPT-5.6 Sol vs Grok 4.5

GPT-5.6 Sol and Grok 4.5 are the July 2026 flagship routes from OpenAI and xAI for coding agents, tool-heavy workflows, and long-context API work. GPT-5.6 Sol is the primary GPT-5.6 compare anchor with a 1.05M-token context window and OpenAI GA launch rows. Grok 4.5 is available through Grok Build, Cursor, and the SpaceXAI API/console, with tiered pricing at a 200K prompt threshold and an EU launch-day availability caveat from xAI.

Pick GPT-5.6 Sol when you want OpenAI's July 2026 frontier stack, the larger 1.05M context window, and OpenAI-sourced GA rows such as DeepSWE 1.1 at 72.7% and GPQA Diamond at 94.6%. Pick Grok 4.5 when xAI's lower standard-tier API pricing ($2/$6 per 1M tokens for prompts up to 200K) and Grok Build/Cursor distribution matter more, and run your own acceptance tests because several Grok 4.5 chart scores are xAI first-party only. Do not treat Terra or Luna as the OpenAI flagship in this pair.

Decision scorecard

Local evidence first
SignalGPT-5.6 SolGrok 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 routes2 tracked3 tracked
Shared benchmarks8 sharedSWE-bench Pro leader

Decision tradeoffs

Choose GPT-5.6 Sol when...
  • GPT-5.6 Sol holds a shared-benchmark lead on Terminal-Bench 2.1, ahead by 5.5 points.
  • GPT-5.6 Sol has the larger context window for long prompts, retrieval packs, or transcript analysis.
  • Local decision data tags GPT-5.6 Sol for Coding, RAG, and Agents.
Choose Grok 4.5 when...
  • Grok 4.5 holds a shared-benchmark lead on SWE-bench Pro, ahead by 0.1 points.
  • Grok 4.5 has the lower cheapest tracked output price at $6/1M tokens.
  • Grok 4.5 has broader tracked provider coverage for fallback and route flexibility.
  • 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-5.6 Sol

$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-5.6 Sol -> Grok 4.5
  • Provider overlap exists on OpenRouter; 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.
Grok 4.5 -> GPT-5.6 Sol
  • Provider overlap exists on OpenRouter; start route-level A/B tests there.
  • GPT-5.6 Sol is $24/1M tokens higher on cheapest tracked output pricing, so quality gains need to justify the spend.

Specs

Specification
Released2026-07-092026-07-08
Context window1.05m500k
Parameters
ArchitectureDecoder Only-
LicenseProprietaryProprietary
OpennessProprietaryProprietary
WeightsNot releasedNot released
CodeUnknownUnknown
Commercial useCommercial use: conditionalCommercial use: conditional
Knowledge cutoff--

Pricing and availability

Pricing attributeGPT-5.6 SolGrok 4.5
Input price
0-272K input tokens
$5/1M tokens
Standard GPT-5.6 Sol token pricing before the long-context surcharge threshold.
272K+ input tokens
$10/1M tokens
Long-context surcharge applies above 272K input tokens for the full request.
<=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-5.6 Sol token pricing before the long-context surcharge threshold.
272K+ input tokens
$45/1M tokens
Long-context surcharge applies above 272K input tokens for the full request.
<=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-5.6 SolGrok 4.5
VisionYesYes
MultimodalYesYes
ReasoningYesYes
JSON / Tool useYesYes
Structured outputsNoNo
Code executionYesYes
IDE integrationNoNo
Computer useNoNo
Parallel agentsNoNo

Benchmarks

BenchmarkGPT-5.6 SolGrok 4.5
SWE-bench Pro64.664.7
Terminal-Bench 2.188.883.3
DeepSWE 1.172.753.0
CursorBench52.663.5
CursorBench67.263.5
CursorBench60.063.5
CursorBench64.563.5
CursorBench63.563.5

Continue comparing

Last reviewed: 2026-07-10. Data sourced from public model cards and provider documentation.