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.
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 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
How GPT-5 Chat compares
The nearest models people weigh against it, and what actually separates them.
vs GPT-5 — Against GPT-5 (OpenAI), GPT-5 Chat lands within a few percent on price and gives up 3.1x on context. Which one wins depends on whether context depth or latency is your constraint.
vs GPT-6 Astra — Against GPT-6 Astra (OpenAI), GPT-5 Chat runs about 81% cheaper per token, gives up 8.2x on context and answers faster. Take GPT-5 Chat unless you specifically need what GPT-6 Astra does better.
vs Claude Fable 5 — Against Claude Fable 5 (Anthropic), GPT-5 Chat runs about 81% cheaper per token, gives up 7.8x on context and answers faster. Take GPT-5 Chat unless you specifically need what Claude Fable 5 does better.
Price History
GPT-5 Chat pricing over time
→0% since May 30
90 data points · tracked daily since May 30, 2026
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Start using GPT-5 Chat
Complex professional tasks requiring nuanced reasoning, strong writing quality, and reliable instruction-following across long conversations.. Start free — no card required.
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
$1.25/1M in
$10.00/1M out
Speed
Balanced
3/5 speed
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.
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
Verdict
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Quality score
99%
Pricing
$10.00/1M in
$50.00/1M out
Speed
Deliberate
2/5 speed
Context
1.1M tokens
Released September 3, 2026. API ID gpt-6-astra; rolling out over the coming days to ChatGPT Plus, Pro, Business and Enterprise (usage inside existing allowances; GPT-6 Astra Pro for Pro/Business/Enterprise; Enterprise off by default), the OpenAI API, Microsoft Azure and Amazon Bedrock. Standard API pricing $10/$50 per 1M tokens; Fast mode is up to 2x speed at 2x price; cache reads and writes have separate rates. Model docs list 1,050,000 context, 128,000 max output, knowledge cutoff April 30, 2026, reasoning efforts up to 'max'. Published launch numbers (Astra / GPT-5.6 Sol / Fable 5.1 / Opus 5): OSWorld 2.0 72.6 / 65.7 / — / 70.2; Terminal-Bench 4.0 57.9 / 37.3 / 55.8 / 52.3; Terminal-Bench Science 0.1 64.6 / 22.4 / 52.6 / 30.0; FrontierMath Tier 4 v2 97.6 / 83.0 / 87.8 / 73.2; GPQA Diamond 96.0 / 94.6 / 93.7 / 93.7; Humanity's Last Exam w/ tools 57.2 / — / 65.0 / 63.6; AutomationBench 41.4 / 18.1 / 31.4 / 26.9; DeepSWE v1.1 74.1 / 72.7 / 67.4 / 73.7; ARC-AGI-2 95.0 / 92.5 / 90.0 / 90.4; ARC-AGI-3 99.9 (OpenAI responses-API harness; ARC Prize's stateless runs score far lower) / 7.8 / — / 30.2; ExploitBench 100.0 / 78.5 / — / 70; SRE-Bench 88.0 / 55.9; Artificial Analysis Intelligence Index v4.1.1 61.2 / 60.9 / 65.7 / 63.1. Meets the Critical threshold for cybersecurity under OpenAI's Preparedness Framework; advanced cyber workflows gated behind OpenAI Daybreak. All figures from OpenAI's launch post and model docs, verified September 4, 2026.
Computer use leaderFrontierAgenticReasoningLong contextPremiumNew
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
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
2/5 speed
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
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.
GPT-5 Chat costs $1.25 per million input tokens and $10 per million output tokens on the API. A month of 10M input and 2M output tokens runs about $32.50 at list price, before any batch or caching discounts.
What is GPT-5 Chat best for?
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 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 GPT-5 Chat?
GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against GPT-5 Chat's $1.25/1M/1M. The strongest choice for serious software engineering work, provided you can absorb the output-side pricing. Compare it first if GPT-5 Chat's pricing is the thing stopping you.
What is a faster alternative to GPT-5 Chat?
GPT-5 — balanced against GPT-5 Chat's balanced, with 400k tokens of context. Worth the swap when response time is what your users notice rather than the last few points of reasoning depth.
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