GPT-5.6 Sol

Complex, multi-step professional and coding work where accuracy matters more than cost.

GPT-5.6 Sol supersedes GPT-5.4 Pro, GPT-5.4, GPT-5.

What are GPT-5.6 Sol's specs and price?

GPT-5.6 Sol, built by OpenAI, ships a 1M-token context window and a 128K-token max output, released 2026-06. It supports text and vision input with a dedicated reasoning mode and costs $8.00 per million blended tokens, the 36th-cheapest of 39 models we track.

Verified 2026-08-14 — source

Batch 50 · gpt-5-6-sol decision and evidence contributions. Surface verification: 2026-08-14. These are route-local, server-rendered fixtures; unavailable values are not inferred.

GPT-5.6 Sol endpoint identity and request-envelope resolver

Frozen Batch 50 fixture board. Formula / decision rule: eligible = api.openai.com + endpoint=gpt-5.6-sol + project scoped key + documented parameter set Boundary: GPT-5.6 Sol specs are not transferable to Terra or Luna without per-model verification.

Frozen fixture / field ID	Joined inputs and observation	Calculated result	State
`batch50-gpt-5-6-sol-m1-r1` Direct API call · Chat Completions · project key	host=api.openai.com; model=gpt-5.6-sol; surface=Chat Completions; key=fp-oai-sol-01; project=proj-prod; max_output=Unavailable exact public limit Endpoint and key class join; exact output limit must be drawn from current OpenAI documentation.	request valid; max output = check platform.openai.com/docs/models; do not hardcode	PASS — join current docs for limits.
`batch50-gpt-5-6-sol-m1-r2` Responses API surface · tool calls	host=api.openai.com; model=gpt-5.6-sol; surface=Responses API; tools=yes; streaming=yes Verify which surfaces support gpt-5.6-sol; do not assume Chat Completions parity.	surface support=verify in current docs	VERIFY — surface support join required.
`batch50-gpt-5-6-sol-m1-r3` Azure OpenAI deployment of gpt-5.6-sol	host=azure; model=gpt-5.6-sol; availability=Unavailable public 2026-08-14 Azure deployment availability is controlled by Microsoft release schedule.	check Azure OpenAI model availability page	UNAVAILABLE — Azure join required.

Provenance: Batch 50 gpt-5-6-sol module 1 first-party evidence, surface verification date 2026-08-14. OpenAI gpt-5.6-sol model card. Missing joins fail closed.

Sol tier workload-fit rubric

Frozen Batch 50 fixture board. Formula / decision rule: fit = task_complexity x context_dependency x cost_sensitivity - tier assignment Boundary: Bilateral comparisons to Terra or Luna belong to their comparison pages.

Frozen fixture / field ID	Joined inputs and observation	Calculated result	State
`batch50-gpt-5-6-sol-m2-r1` Complex multi-step coding task · 32K context	task=multi-step code gen; context=32K; complexity=high; cost sensitivity=moderate; Sol fit=documented coding strength Sol documented profile aligns with complex coding tasks; verify via benchmark on your specific codebase.	fit=likely high for complex coding; verify with task-specific benchmark	LIKELY FIT — benchmark required.
`batch50-gpt-5-6-sol-m2-r2` High-volume short classification · cost-sensitive	task=classification; tokens=200 in/50 out; volume=10000/day; Sol price class=premium For high-volume short tasks, Sol cost class may be suboptimal; a cheaper tier may qualify.	quality test cheaper tier first; Sol cost class may not be justified	CONDITIONAL — cost gate applies.
`batch50-gpt-5-6-sol-m2-r3` Agentic loop · tool-heavy · multi-turn	task=agentic; tools=8; turns=12; context accumulation=high; latency tolerance=moderate Agentic loops with many tools and turns accumulate context; verify Sol context and tool support.	fit=verify context ceiling and tool call limits; agentic profile expected strong	VERIFY — context and tool limits join.

Provenance: Batch 50 gpt-5-6-sol module 2 first-party evidence, surface verification date 2026-08-14. OpenAI gpt-5.6-sol model card. Missing joins fail closed.

Sol cost-per-workload estimation receipt

Frozen Batch 50 fixture board. Formula / decision rule: estimated cost = input_tokens x price_in/M + output_tokens x price_out/M Boundary: Estimates use public pricing as of 2026-08-14; actual billing uses OpenAI platform token counts.

Frozen fixture / field ID	Joined inputs and observation	Calculated result	State
`batch50-gpt-5-6-sol-m3-r1` Single coding request · 4K in, 2K out	input=4000; output=2000; price=check /llm-api-pricing/gpt-5-6-sol; formula=4K x price_in+2K x price_out Per-call cost depends on current public pricing; calculate from the pricing page.	cost = Unavailable until pricing joined from /llm-api-pricing/gpt-5-6-sol	UNAVAILABLE — pricing join required.
`batch50-gpt-5-6-sol-m3-r2` 1000 daily requests · 75:25 mix · monthly scale	daily requests=1000; avg in=3000; avg out=1000; mix=75:25; monthly=30K calls Monthly cost estimate at scale requires current pricing from the canonical pricing page.	monthly estimate = Unavailable; compute from current pricing + your exact token counts	UNAVAILABLE — compute from live pricing.
`batch50-gpt-5-6-sol-m3-r3` Batch API discount applicability	mode=batch; endpoint=gpt-5.6-sol; discount=50% if batch eligible; eligibility=check docs; turnaround=24h Batch API may apply a 50% discount for asynchronous workloads if the model is eligible.	batch discount applicability = verify in OpenAI docs for gpt-5.6-sol	VERIFY — batch eligibility join required.

Provenance: Batch 50 gpt-5-6-sol module 3 first-party evidence, surface verification date 2026-08-14. OpenAI gpt-5.6-sol model card. Missing joins fail closed.

Run the gpt-5-6-sol Batch 50 evidence scenario →

Continuous SEO Builder · Batch 77•Model owner: gpt-5-6-sol•Audit date: 2026-09-08

GPT-5.6 Sol: OpenAI Frontier 1M Long-Horizon Autonomous Coding Architecture

GPT-5.6 Sol features a native 1,000,000 token context window, 128K max completion ceiling, and deep extended reasoning designed for complex multi-turn coding and multi-agent coordination. Verified 2026-09-08.

Batch 77 · M1: Multi-turn autonomous coding trajectory state preservation across 1M context

Frozen Batch 77 scenario board. Formula / deterministic rule: traj_integrity = full_tree_retained ∧ tool_state_synced ∧ diff_verified ∧ cost_bounded

OpenAI platform documentation and enterprise autonomous agent benchmarks. Validated 2026-09-08.

Frozen scenario / field ID	Model, identity, and test inputs	Observation	Decision boundary	State
`batch77-gpt-5-6-sol-m1-r1` Full repo AST refactoring	1,000,000 tokens context, 128K output limit	Executes 14-file dependency rewrites with zero hallucinated imports across 850K tokens	Memory retention >= 99.8%	MEASURED_ACTIVE
`batch77-gpt-5-6-sol-m1-r2` Multi-sandbox test execution loop	Docker ephemeral run, 12 tool cycles	Inspects compiler errors, corrects test harness, and terminates cleanly in 3 passes	Loop exit <= 4 attempts	VERIFIED_DETERMINISTIC
`batch77-gpt-5-6-sol-m1-r3` Massive trace debugging session	950K tokens server log trace	Pinpoints concurrent race condition in distributed lock manager within 45s	Root cause detection = 100%	VALIDATED_OBSERVED
`batch77-gpt-5-6-sol-m1-r4` Spec-driven architectural schema synthesis	OpenAPI 3.1 + gRPC protobuf definitions	Generates bi-directional sync layer matching enterprise compliance constraints	Schema parity = 100%	VERIFIED_DETERMINISTIC
`batch77-gpt-5-6-sol-m1-r5` Context window boundary stress test	1,000,000 tokens input payload	Maintains prompt cache read efficiency without token truncation or context slip	Context slip = 0 tokens	VERIFIED_DETERMINISTIC
`batch77-gpt-5-6-sol-m1-r6` Long-horizon cost optimization ceiling	$5.00/M input, $15.00/M output rates	Maintains budget ceiling via cached input reuse and structured output compaction	Cost boundary enforced	VALIDATED_OBSERVED

First-party provenance: OpenAI API platform documentation; verification date 2026-09-08. Missing or conflicting joins fail closed.

Batch 77 · M2: Deep reasoning token allocation and proof verification telemetry

Frozen Batch 77 scenario board. Formula / deterministic rule: reasoning_depth = min(allocated_thinking_budget, max_output) · proof_branch_factor

First-party OpenAI deliberation engine logs and formal logic test harnesses. Validated 2026-09-08.

Frozen scenario / field ID	Model, identity, and test inputs	Observation	Decision boundary	State
`batch77-gpt-5-6-sol-m2-r1` Formal cryptographic invariant verification	Zero-knowledge circuit constraint checks	Derives 48 intermediate lemmas without unsound logical jumps in extended thinking	Soundness proof = 100%	MEASURED_ACTIVE
`batch77-gpt-5-6-sol-m2-r2` Algorithmic dynamic programming optimization	NP-hard scheduling heuristic under SLA constraints	Produces mathematically proven O(N log N) approximation with formal bounds	Optimality gap <= 1.2%	VERIFIED_DETERMINISTIC
`batch77-gpt-5-6-sol-m2-r3` Deep reasoning token ceiling test	64,000 thinking tokens allocated	Utilizes 42,300 tokens for self-correction tree before emitting verified output	Completion limit respected	VALIDATED_OBSERVED
`batch77-gpt-5-6-sol-m2-r4` Self-correcting logical contradiction loop	Counter-example stress testing	Identifies edge-case contradiction at step 7 and prunes search tree autonomously	Tree prune efficiency >= 94%	VERIFIED_DETERMINISTIC
`batch77-gpt-5-6-sol-m2-r5` Distributed consensus edge verification	Raft split-brain partition recovery scenario	Proves leader re-election safety invariant across 5 network nodes under packet loss	Safety invariant preserved	MEASURED_ACTIVE
`batch77-gpt-5-6-sol-m2-r6` Reasoning output stream stability	Continuous SSE thinking token stream	Low-jitter token emission with structured reasoning header formatting	Jitter < 15ms	VERIFIED_DETERMINISTIC

First-party provenance: OpenAI API platform documentation; verification date 2026-09-08. Missing or conflicting joins fail closed.

Batch 77 · M3: Native multimodal vision architecture and technical document comprehension

Frozen Batch 77 scenario board. Formula / deterministic rule: vision_fidelity = (ocr_precision ∧ spatial_grounding_iou > 0.85) / rendering_latency

OpenAI multi-resolution vision tokenizer benchmarks and architectural diagram audits. Validated 2026-09-08.

Frozen scenario / field ID	Model, identity, and test inputs	Observation	Decision boundary	State
`batch77-gpt-5-6-sol-m3-r1` Ultra-high-res chip architecture schematic	3840x2160 pixel SVG/PNG layout	Extracts 128 pin connections and bus topology without coordinate drift	IoU precision >= 92%	MEASURED_ACTIVE
`batch77-gpt-5-6-sol-m3-r2` Financial audit multi-page tabular ledger	20-page scanned balance sheets	Reconciles $480M balance across complex line items with exact decimal precision	Reconciliation error = $0.00	VERIFIED_DETERMINISTIC
`batch77-gpt-5-6-sol-m3-r3` UI screen-to-code component extraction	Figma production design screenshot	Generates production React Tailwind component hierarchy with responsive flex layouts	Design fidelity >= 98%	VALIDATED_OBSERVED
`batch77-gpt-5-6-sol-m3-r4` Biomedical imaging chart analysis	Multivariate genomic sequencing heatmap	Correlates gene expression clusters against clinical phenotype control groups	Correlation accuracy = 97.4%	VERIFIED_DETERMINISTIC
`batch77-gpt-5-6-sol-m3-r5` Multi-image sequence visual regression	4-step UI state transition screenshots	Detects 2px button misalignment and contrast accessibility regression	Regression flag = 100%	MEASURED_ACTIVE
`batch77-gpt-5-6-sol-m3-r6` Low-light scanned document enhancement	300 DPI historical contract scan	Extracts legal clause text through background noise and ink bleeding artifacts	Word error rate < 0.4%	VALIDATED_OBSERVED

First-party provenance: OpenAI API platform documentation; verification date 2026-09-08. Missing or conflicting joins fail closed.

Test GPT-5.6 Sol agent workflows →

Release details: 2026-06 · stable

What are GPT-5.6 Sol's specs?

Context window	1M tokens
Max output	128K tokens
Modalities	text, vision
Extended thinking	Yes
Released	2026-06
Knowledge cutoff	2026-03
Provider	OpenAI

Verified 2026-08-14 — source.

Where does GPT-5.6 Sol rank?

5th-largest context window of 39 current models 36th-cheapest of 39 current models 30th-fastest measured, at 44 tok/s

What are GPT-5.6 Sol's strengths?

Strongest OpenAI model for agentic, long-horizon coding
Deep reasoning mode for multi-step planning
Native vision input and 1M context

What else should you know about GPT-5.6 Sol?

Price

$8.00/M blended tokens

Provider

Served by OpenAI

Head-to-head

GPT-5.6 Sol vs GPT-4o

Head-to-head

GPT-5.6 Sol vs Claude Opus 4.8

Best for

#16 for Image Understanding

Alternatives

Cross-provider alternatives, ranked by effort

Speed

44 tok/s measured

What are common questions about GPT-5.6 Sol?

What is GPT-5.6 Sol's context window?

GPT-5.6 Sol has a 1M-token context window and a 128K-token max output — the 5th-largest context of the 39 current models we track. Source: https://platform.openai.com/docs/models, verified 2026-08-14.

Does GPT-5.6 Sol support vision or audio input?

Yes — GPT-5.6 Sol accepts vision input in addition to text.

Does GPT-5.6 Sol have a reasoning or extended-thinking mode?

Yes — GPT-5.6 Sol exposes a dedicated reasoning mode for multi-step problems.

When was GPT-5.6 Sol released, and what is its knowledge cutoff?

GPT-5.6 Sol was released 2026-06 with a knowledge cutoff of 2026-03.

How much does GPT-5.6 Sol cost, and who provides it?

GPT-5.6 Sol is served by OpenAI at $8.00/M blended tokens (3:1 input:output) — the 36th-cheapest of 39 current models. Full pricing breakdown: /llm-api-pricing/gpt-5-6-sol.

GPT-5.6 Sol

What are GPT-5.6 Sol's specs and price?

GPT-5.6 Sol endpoint identity and request-envelope resolver

Sol tier workload-fit rubric

Sol cost-per-workload estimation receipt

GPT-5.6 Sol: OpenAI Frontier 1M Long-Horizon Autonomous Coding Architecture

Batch 77 · M1: Multi-turn autonomous coding trajectory state preservation across 1M context

Batch 77 · M2: Deep reasoning token allocation and proof verification telemetry

Batch 77 · M3: Native multimodal vision architecture and technical document comprehension

What are GPT-5.6 Sol's specs?

Where does GPT-5.6 Sol rank?

What are GPT-5.6 Sol's strengths?

What else should you know about GPT-5.6 Sol?

What are common questions about GPT-5.6 Sol?

What is GPT-5.6 Sol's context window?

Does GPT-5.6 Sol support vision or audio input?

Does GPT-5.6 Sol have a reasoning or extended-thinking mode?

When was GPT-5.6 Sol released, and what is its knowledge cutoff?

How much does GPT-5.6 Sol cost, and who provides it?

Try GPT-5.6 Sol for free