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Home/Best OpenAI Model for Long Context
Best OpenAI pickOpenAI · Long Context

Best OpenAI Model for Long Context

GPT-5.6 Sol is OpenAI's best model for long-context work — it scores 96/100 vs 95/100 for GPT-5.5, at $5/1M input tokens. Across all providers, Claude Fable 5 still leads long-context work at 99/100 — worth considering if you're not committed to OpenAI.

Last verified Aug 15, 2026/Model data modified Aug 15, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
OpenAIPremium
Input cost
$2.50/1M
Context
1.1M tokens
Speed
Deliberate

Clear recommendation block

The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.

Best overall model

GPT-5.6 Sol

View
Why this recommendation

GPT-5.6 Sol is the safest overall answer here when you want the strongest default instead of the lowest list price.

OpenAIPremium
Best for
Frontier agentic coding, deep research, and hardest reasoning tasks
Price
$2.50/1M
Context
1.1M tokens
Best budget model

Mistral: Mistral Nemo

View
Why this recommendation

Mistral: Mistral Nemo is the lower-cost option to start with when you still need useful output at scale.

MistralBudget
Best for
Teams needing a cheap, fast, multilingual workhorse for classification, summarization, or light coding tasks at scale.
Price
$0.02/1M
Context
131k tokens
Best for long context

GPT-5.5

View
Why this recommendation

GPT-5.5 is the better pick when large documents, transcripts, or knowledge-heavy work lead the decision.

OpenAIPremium
Best for
Agentic coding, computer-use workflows, and complex research tasks
Price
$2.50/1M
Context
1M tokens

Why this page recommends it

GPT-5.5 leads OpenAI's lineup for long-context work at 95/100 ($5/1M input, 1M context).

GPT-5.4 is the value pick at $2.5/1M input with a long-context work score of 72/100.

Claude Fable 5 (Anthropic) is the overall long-context work leader at 99/100 if provider choice is open.

Decision notes

Choose GPT-5.5 when long-context work quality is the priority and you're staying on OpenAI.

Choose GPT-5.4 when token volume matters more than peak quality.

Teams open to other providers should also evaluate Claude Fable 5 before committing.

Interactive decision lab

Test the recommendation against your priority

Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.

#1GPT-5.587 pts
#2GPT-5.481 pts
#3GPT-5.275 pts
#4GPT-4o Mini68 pts
#5GPT-5.2 Mini68 pts
Quality first

GPT-5.5

OpenAI / Premium / Aug 8, 2026

87

Best OpenAI flagship for agentic coding, research, and computer-use work.

Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.

Cost
$2.50/1M
$15.00/1M out
Speed
Balanced
3/100 score
Context
1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You only care about the highest public coding benchmark score or need a cheaper high-volume model.

Recommended comparisons

The fastest way to see where the recommendation shifts when your priority changes.

OpenAIPremiumBest OpenAI pick

GPT-5.5

Best OpenAI flagship for agentic coding, research, and computer-use work.

Best use case
Agentic coding, computer-use workflows, and complex research tasks
Input
$2.50/1M
Pricing
Premium
Speed
Balanced
Context
1M tokens
AgenticCodingComputer use
OpenAIPremiumOption 2

GPT-5.4

Best for agentic automation and desktop control workflows.

Best use case
Agentic workflows, desktop automation, and complex multi-step reasoning
Input
$2.50/1M
Pricing
Premium
Speed
Balanced
Context
272k tokens
AgenticDesktop controlReasoning
OpenAIPremiumOption 3

GPT-5.2

Capable but outclassed — GPT-5.4 is now cheaper and better.

Best use case
Serious coding and complex product work
Input
$12.00/1M
Pricing
Premium
Speed
Balanced
Context
200k tokens
Former top pickCodingReasoning
OpenAIBudgetOption 4

GPT-4o Mini

OpenAI's fastest, cheapest option for everyday high-volume tasks.

Best use case
High-volume everyday tasks where GPT-4o quality is overkill
Input
$0.15/1M
Pricing
Budget
Speed
Very fast
Context
128k tokens
BudgetFastOpenAI
OpenAIBalancedOption 5

GPT-5.2 Mini

Solid OpenAI budget option, though Gemini Flash offers better value.

Best use case
Budget technical workflows and high-volume product integrations
Input
$1.20/1M
Pricing
Balanced
Speed
Fast
Context
128k tokens
Budget codingFastOpenAI
OpenAIBalancedOption 6

GPT-4o

Best all-around pick for image-heavy and multimodal workflows.

Best use case
Multimodal tasks and image-adjacent workflows
Input
$1.25/1M
Pricing
Balanced
Speed
Fast
Context
128k tokens
ImagesMultimodalCreative

Pros

Terminal-Bench 2.1 leader at 88.8% (91.9% ultra) — the top OpenAI agentic-coding result

94.6% GPQA Diamond and 90.4% BrowseComp — frontier science reasoning and agentic browsing

Artificial Analysis Coding Agent Index leader at 80 points, near Fable 5 intelligence at roughly one-third the cost

Cons

Trails Claude Opus 5 badly on repository-level engineering (SWE-bench Pro 64.6% vs 79.2%)

Long-context surcharge ($10/$45 above 272K) and 2–3x ultra-mode costs stack up fast

Explore related decisions

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Quick links

Browse all modelsCompare pricingView GPT-5.5View GPT-5.4View GPT-5.2

How we evaluate AI models

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FAQ

Which OpenAI model is best for long-context work?

GPT-5.6 Sol — it scores 96/100 on long-context work in this directory, ahead of GPT-5.5 at 95/100. Best OpenAI flagship — leads terminal coding and agentic browsing.

Is GPT-5.6 Sol the best long-context work model overall?

Not overall. Claude Fable 5 (Anthropic) leads the directory for long-context work at 99/100 vs GPT-5.6 Sol's 96/100. GPT-5.6 Sol is the best pick if you're staying within OpenAI's ecosystem.

What is the cheapest OpenAI model that is still good at long-context work?

GPT-5.6 Terra at $2/1M input tokens (long-context work score: 94/100). Use it for volume work and reserve GPT-5.6 Sol for the tasks where quality matters most.

How much does GPT-5.6 Sol cost?

$5/1M input tokens and $30/1M output tokens via the API, or through ChatGPT Plus at $20/mo for chat use. Context window: 1.05M tokens.