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HomeModelsOpenAI: GPT-5 Chat
OpenAIBalanced

OpenAI: GPT-5 Chat

A polished, capable flagship that earns its place but faces stiff competition at its price point.

85
Coding
88
Writing
82
Research
30
Images
45
Value
52
Long Context
Use this when

Complex professional tasks requiring nuanced reasoning, strong writing quality, and reliable instruction-following across long conversations.

Skip this if

You need to process documents exceeding 128K tokens, require native image generation, or are running high-throughput workloads where cost-per-token is a primary constraint.

Pricing
$1.25/1M in
$10.00/1M out
→0%since May 2026
Context
128k tokens
Speed
Balanced

Pricing is asymmetric — input is relatively affordable at $1.25/1M but output at $10/1M can accumulate quickly in agentic or verbose-output workflows. Cached input pricing may apply through the OpenAI API. Not to be confused with GPT-5 reasoning variants (o-series) which use chain-of-thought and have separate pricing.

How to access
API
$1.25/1M input tokens
Subscription = chat interface. API = build with it. Compare all subscription plans
Switch to instead if...
Best overall
Claude Fable 5
Cheaper option
Meta: Llama 3.1 8B Instruct
Faster option
OpenAI: GPT-5

Strengths

Significantly improved instruction-following and task decomposition over GPT-4o

Strong coding performance competitive with Claude Sonnet 4.6 on real-world benchmarks

Better calibration and reduced hallucination rate compared to its predecessors

Competent multimodal understanding for image analysis and mixed-media tasks

Weaknesses

128K context window falls short of Gemini 3.1 Pro's 1M+ token window for large document tasks

Output cost of $10/1M tokens makes high-volume production pipelines expensive compared to GPT-4o Mini or Haiku equivalents

No native image generation; image tasks require routing to separate DALL-E or other endpoints

Real-world use cases

What people actually use OpenAI: GPT-5 Chat for.

Drafting and iterating on complex technical documentation with precise formatting requirements

Building a coding assistant for a mid-sized engineering team handling multi-file refactors

Synthesizing research papers and producing structured summaries with citations

Price History

OpenAI: GPT-5 Chat pricing over time

→0% since May 9

$1.35$1.30$1.25$1.20$1.15May 9May 18May 29Jun 7Jun 17Jun 26

48 data points · tracked daily since May 9, 2026

Ready to try it?

Start using OpenAI: GPT-5 Chat

Complex professional tasks requiring nuanced reasoning, strong writing quality, and reliable instruction-following across long conversations.. Start free — no card required.

Try OpenAI: GPT-5 Chat freeCompare alternatives

Recommendations are made independently based on real-world use and public benchmarks. See our disclosures for details.

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Similar models worth checking before you commit.

OpenAIBalanced

OpenAI: GPT-5

GPT-5 is OpenAI's flagship multimodal model, superseding GPT-4o with significantly improved reasoning, instruction-following, and knowledge breadth. It handles text, images, and complex multi-step tasks with state-of-the-art performance across most benchmarks.

Verdict
OpenAI's best general-purpose model — a strong flagship pick that punches above its price on input costs while delivering top-tier reasoning and multimodal capability.
Quality score
87%
Pricing
$30.00/1M in
$180.00/1M out
Speed
Balanced
Best for high-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.
Context
400k tokens
Pricing is asymmetric: cheap on input ($1.25/1M) but expensive on output ($10/1M), so it favors read-heavy or summarization tasks over verbose generation. The 400K context window is one of the largest available at this price tier. Supersedes GPT-4o, which remains available at lower cost for lighter workloads.
FlagshipMultimodalLong ContextOpenAIReasoning
Best for
High-stakes professional tasks requiring deep reasoning, precise instruction-following, and reliable multimodal understanding.
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AnthropicPremium

Claude Fable 5

Anthropic's new Mythos-class flagship and the most capable coding model anyone can use — 80.3% SWE-Bench Pro, an 11-point jump over Opus 4.8. 1M context, 128K output, native parallel subagents. Released June 9, 2026.

Verdict
New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.
Quality score
98%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
Best for the hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Context
1M tokens
Launched June 9, 2026 as the public, Mythos-class release. Available on the Claude API, Microsoft Foundry, and Google Vertex AI. Free for all users until June 22, 2026. Same underlying model as Claude Mythos 5, with safeguards that block specific high-risk cyber responses.
Coding leaderSWE-Bench Pro #1Mythos-classParallel subagentsAgenticLong contextPremiumNew
Best for
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
View model
AnthropicPremium

Claude Opus 4.7

Anthropic's latest generally available Opus model, tuned for frontier coding, AI agents, long-context reasoning, and high-fidelity vision.

Verdict
Best premium model for coding agents and high-stakes engineering work.
Quality score
96%
Pricing
$30.00/1M in
$150.00/1M out
Speed
Deliberate
Best for highest-ceiling coding, agentic workflows, and deep research
Context
1M tokens
Ranked from public benchmark and pricing data verified April 26, 2026: SWE-Bench Pro 64.3%, 1M context, $5/$25 per 1M tokens.
Coding leaderSWE-bench Pro #1AgenticLong contextPremium
Best for
Highest-ceiling coding, agentic workflows, and deep research
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

OpenAI: GPT-5 Chat — added to UseRightAI

OpenAI: GPT-5 Chat (OpenAI) is now indexed. It supersedes GPT-4o. A polished, capable flagship that earns its place but faces stiff competition at its price point.

View model

FAQ

What is OpenAI: GPT-5 Chat best for?

OpenAI: GPT-5 Chat is best for complex professional tasks requiring nuanced reasoning, strong writing quality, and reliable instruction-following across long conversations.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.

When should I avoid OpenAI: GPT-5 Chat?

You need to process documents exceeding 128K tokens, require native image generation, or are running high-throughput workloads where cost-per-token is a primary constraint.

What is a cheaper alternative to OpenAI: GPT-5 Chat?

Meta: Llama 3.1 8B Instruct is the lower-cost option to compare first when you want a similar workflow fit with less token spend.

What is a faster alternative to OpenAI: GPT-5 Chat?

OpenAI: GPT-5 is the better pick when response time matters more than maximum depth or premium quality.

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