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HomeModelsGPT-5.1 Chat
OpenAIBalanced

GPT-5.1 Chat

A reliable mid-tier upgrade over GPT-4o for instruction-heavy tasks, but the context window and output pricing limit its value against Sonnet-class competitors.

82
Coding
80
Writing
76
Research
0
Images
52
Value
45
Long Context
Use this when

Teams and developers who need GPT-4o-level quality with incremental improvements in accuracy and instruction adherence without paying flagship model prices.

Skip this if

You need to process documents or codebases longer than 128K tokens, require native image generation, or are cost-sensitive enough that a sub-$1 input model like GPT-4o Mini would suffice.

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

Output cost of $10/1M tokens is asymmetric compared to the $1.25 input price — high-volume generation tasks will become expensive quickly. No vision or image generation confirmed based on available specs. Supersedes GPT-4o in the OpenAI lineup but does not replace o-series reasoning models.

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
GPT-6 Astra
Cheaper option
GPT-5.1-Codex-Max
Faster option
GPT-4

Strengths

Stronger instruction-following than GPT-4o, reducing prompt engineering overhead

Solid coding performance across Python, JavaScript, and SQL at a mid-tier cost

Good balance of response quality and speed for production API integrations

Improved factual accuracy and reduced hallucination rate compared to GPT-4o

Weaknesses

128K context window falls short of Gemini 3.1 Pro's 1M+ and Claude Sonnet 4.6's 200K offerings

No native image generation capability, limiting true multimodal workflows

Output cost of $10/1M tokens is steep relative to Claude Sonnet 4.6 at similar quality tiers

Real-world use cases

What people actually use GPT-5.1 Chat for.

Generating and reviewing production-ready Python functions with detailed inline documentation

Drafting structured research summaries from provided source material with accurate citations

Building multi-turn customer support chatbots requiring precise instruction-following and tone control

How GPT-5.1 Chat compares

The nearest models people weigh against it, and what actually separates them.

vs GPT-4 — Against GPT-4 (OpenAI), GPT-5.1 Chat runs about 88% cheaper per token and takes 15.6x the context. Take GPT-5.1 Chat unless you specifically need what GPT-4 does better.

vs GPT-4 (older v0314) — Against GPT-4 (older v0314) (OpenAI), GPT-5.1 Chat runs about 88% cheaper per token and takes 15.6x the context. Take GPT-5.1 Chat unless you specifically need what GPT-4 (older v0314) does better.

vs GPT-4 Turbo — Against GPT-4 Turbo (OpenAI), GPT-5.1 Chat runs about 72% cheaper per token. Take GPT-5.1 Chat unless you specifically need what GPT-4 Turbo does better.

Price History

GPT-5.1 Chat pricing over time

→0% since May 30

$1.35$1.30$1.25$1.20$1.15May 30Jun 17Jul 9Jul 26Aug 13Sep 7

90 data points · tracked daily since May 30, 2026

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Teams and developers who need GPT-4o-level quality with incremental improvements in accuracy and instruction adherence without paying flagship model prices.. Start free — no card required.

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

Compare alternatives

Similar models worth checking before you commit.

All GPT-5.1 Chat alternatives →
OpenAIPremium

GPT-4

GPT-4 is OpenAI's original flagship large language model, released in March 2023, offering strong reasoning and instruction-following across text tasks. It represents the foundational GPT-4 release before later variants like GPT-4 Turbo or GPT-4o improved speed, cost, and context length.

Verdict
A once-groundbreaking model now badly outclassed by cheaper, faster, and more capable successors — only use it if you have no choice.
Quality score
51%
Pricing
$30.00/1M in
$60.00/1M out
Speed
Balanced
3/5 speed
Context
8k tokens
At $30/$60 per million tokens, this is one of the most expensive text-only models available. The 8,191-token context window is a hard ceiling that makes it unsuitable for most document-processing tasks. OpenAI continues to offer it for API backward compatibility but actively recommends migrating to GPT-4o or GPT-4 Turbo. New projects should not default to this model.
Legacy flagshipText-onlyHigh costOpenAIGPT-4
Best for
Teams or workflows locked into the original GPT-4 API that require reliable, high-quality text reasoning without needing long context or multimodal input.
View model
OpenAIPremium

GPT-4 (older v0314)

GPT-4 v0314 is a frozen snapshot of the original GPT-4 release from March 2023, preserved for reproducibility and regression testing. It offers the same core reasoning capabilities as early GPT-4 but lacks all subsequent improvements, fine-tuning updates, and safety refinements.

Verdict
An expensive museum piece: only justified if you need this exact model snapshot for legacy reproducibility.
Quality score
40%
Pricing
$30.00/1M in
$60.00/1M out
Speed
Balanced
3/5 speed
Context
8k tokens
This is a frozen March 2023 snapshot of GPT-4, not a current model. OpenAI may deprecate legacy snapshots with limited notice. The 8,191-token context window is a hard constraint. Cost is identical to much more capable current models, making this a poor choice for new projects.
LegacyGPT-4Version-lockedResearchDeprecated
Best for
Reproducible research or legacy workflows that require consistent, version-locked GPT-4 outputs.
View model
OpenAIPremium

GPT-4 Turbo

GPT-4 Turbo is OpenAI's high-capability flagship model featuring a 128K context window, trained on data up to April 2024. It delivers strong reasoning, coding, and instruction-following across complex tasks.

Verdict
A capable but aging flagship that has been outpaced by cheaper, faster successors in OpenAI's own lineup.
Quality score
75%
Pricing
$10.00/1M in
$30.00/1M out
Speed
Balanced
3/5 speed
Context
128k tokens
GPT-4 Turbo is available via the OpenAI API. It has largely been succeeded by GPT-4o, which is faster, supports vision natively, and is cheaper. Organizations should evaluate whether migrating to GPT-4o or o3 makes more sense before building new workflows on this model.
128K contextGPT-4 classfunction callingOpenAIpremium
Best for
Complex multi-step tasks requiring deep reasoning, long document analysis, or sophisticated code generation where cost is secondary to quality.
View model

Change history

Pricing moves, ranking shifts, and capability updates.

New ModelMar 27, 2026

OpenAI: GPT-5.1 Chat — added to UseRightAI

OpenAI: GPT-5.1 Chat (OpenAI) is now indexed. It supersedes GPT-4o. A reliable mid-tier upgrade over GPT-4o for instruction-heavy tasks, but the context window and output pricing limit its value against Sonnet-class competitors.

View model

FAQ

How much does GPT-5.1 Chat cost?

GPT-5.1 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-5.1 Chat best for?

GPT-5.1 Chat is best for teams and developers who need gpt-4o-level quality with incremental improvements in accuracy and instruction adherence without paying flagship model prices.. It is a strong fit when that workflow matters more than the tradeoffs around balanced pricing and balanced speed.

When should I avoid GPT-5.1 Chat?

You need to process documents or codebases longer than 128K tokens, require native image generation, or are cost-sensitive enough that a sub-$1 input model like GPT-4o Mini would suffice.

What is a cheaper alternative to GPT-5.1 Chat?

GPT-5.1-Codex-Max (OpenAI) at $1.25/1M/1M input against GPT-5.1 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-5.1 Chat's pricing is the thing stopping you.

What is a faster alternative to GPT-5.1 Chat?

GPT-4 — balanced against GPT-5.1 Chat's balanced, with 8k 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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