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Home/Best GPT-6 Astra Alternatives
Best alternative: Claude Fable 5.1Alternatives

Best GPT-6 Astra Alternatives

Claude Fable 5.1 is the strongest alternative to GPT-6 Astra — it matches it on coding (100/100) at $10/1M input (GPT-6 Astra costs $10/1M). Claude Opus 4.8 is the budget swap: $5/1M input is 50% cheaper. Kimi K3 is the top open-weight option if you want a model you can self-host.

Last verified Sep 4, 2026/Model data modified Sep 4, 2026
Rankings refresh dailyScored on 6 criteriaNo paid rankings
AnthropicPremium
Input cost
$10.00/1M
Context
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

Claude Fable 5.1

View
Why this recommendation

Claude Fable 5.1 is the safest overall answer here when you want the strongest default instead of the lowest list price.

AnthropicPremium
Best for
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Price
$10.00/1M
Context
1M tokens
Best budget model

Llama 3.2 1B Instruct

View
Why this recommendation

Llama 3.2 1B Instruct is the lower-cost option to start with when you still need useful output at scale.

MetaBudget
Best for
Ultra-low-cost text classification, simple Q&A, and high-volume automation pipelines where cost per token is critical.
Price
$0.03/1M
Context
60k tokens
Best for speed

GPT-6 Astra

View
Why this recommendation

GPT-6 Astra is the better pick when response speed matters more than maximum reasoning depth.

OpenAIPremium
Best for
Computer and browser use, long-horizon agentic coding, and frontier math and science work
Price
$10.00/1M
Context
1.1M tokens

Why this page recommends it

Claude Fable 5.1 matches GPT-6 Astra on coding (100/100) at $10/1M input tokens.

Claude Opus 4.8 cuts input cost by 50% ($5 vs $10/1M) while scoring 100/100 on coding.

Kimi K3 is open-weight — self-host it or run it via low-cost API providers at $3/1M input.

Decision notes

Choose Claude Fable 5.1 when you want the closest overall replacement — it targets frontier agentic coding, long-horizon autonomous work, and agentic scientific research.

Choose Claude Opus 4.8 when token volume matters more than peak quality — it is 50% cheaper on input.

Staying with OpenAI? GPT-5.6 Sol is the strongest in-house switch at $2/1M input.

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-6 Astra91 pts
#2Claude Fable 5.191 pts
#3Claude Fable 591 pts
#4Claude Opus 4.890 pts
#5GPT-5.6 Sol89 pts
Quality first

GPT-6 Astra

OpenAI / Premium / Sep 4, 2026

91

OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.

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

Cost
$10.00/1M
$50.00/1M out
Speed
Deliberate
2/5 score
Context
1.1M tokens
input window
View model
Data-backed recommendation
Avoid this pick if

You are cost-sensitive or latency-bound — GPT-5.6 Sol is a fifth of the price — or you need it today in an Enterprise workspace, where it is off by default, or for offensive-security work, which it refuses outside OpenAI Daybreak.

Recommended comparisons

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

OpenAIPremiumBest alternative: Claude Fable 5.1

GPT-6 Astra

OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.

Best use case
Computer and browser use, long-horizon agentic coding, and frontier math and science work
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1.1M tokens
Computer use leaderFrontierAgentic
AnthropicPremiumOption 2

Claude Fable 5.1

New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

Best use case
Frontier agentic coding, long-horizon autonomous work, and agentic scientific research
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderFrontierAgentic
AnthropicPremiumOption 3

Claude Opus 4.8

Best value premium coder — frontier-grade at half of Fable 5's price.

Best use case
Hardest coding tasks, parallel agentic workflows, and high-fidelity vision
Input
$5.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderSWE-bench Pro #1Parallel subagents
MoonshotPremiumOption 4

Kimi K3

Closest Chinese challenger to the frontier — #4 overall on intelligence.

Best use case
Frontier-level reasoning and agentic coding
Input
$3.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Open weightsReasoningFlagship
OpenAIPremiumOption 5

GPT-5.6 Sol

Best OpenAI flagship — leads terminal coding and agentic browsing.

Best use case
Frontier agentic coding, deep research, and hardest reasoning tasks
Input
$2.00/1M
Pricing
Premium
Speed
Deliberate
Context
1.1M tokens
AgenticReasoningFlagship
AnthropicPremiumOption 6

Claude Fable 5

New global #1 — 80.3% SWE-Bench Pro, the most capable model generally available.

Best use case
The hardest coding tasks, autonomous multi-step agents, and frontier-grade reasoning
Input
$10.00/1M
Pricing
Premium
Speed
Deliberate
Context
1M tokens
Coding leaderSWE-Bench Pro #1Mythos-class

Side-by-side specs

Every figure below is the provider's list price or a published capability score — the same numbers the recommendation on this page is built from.

ModelInputOutputEst. monthContextSpeedCodingWritingResearch
Claude Fable 5.1Anthropic$10.00/1M$50.00/1M$2001M tokensDeliberate10098100
GPT-6 AstraOpenAI$10.00/1M$50.00/1M$2001.1M tokensDeliberate10097100
Claude Opus 4.8Anthropic$5.00/1M$25.00/1M$1001M tokensDeliberate1009698
Kimi K3Moonshot$3.00/1M$15.00/1M$601M tokensDeliberate969093

Capability scores are out of 100 and reflect our own weighting of published benchmarks and production signals — see how we evaluate models. “Est. month” assumes 10M input and 2M output tokens at list price, with no batch or caching discounts applied, so treat it as a ceiling.

The case for each model

What each one is genuinely good at, where it falls down, and the situations we would steer you away from it — not just the headline score.

Claude Fable 5.1

Best alternative: Claude Fable 5.1Anthropic

Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.

Input
$10.00/1M
Output
$50.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Agentic scientific research — 52.6% on Terminal-Bench-Science 0.1, more than double Fable 5's 24.7%
  • Long-running autonomous coding agents that plan, run, and debug across a whole repository
  • Cache-heavy agent loops where the 75% cache-read cut ($1.00 → $0.25 per 1M) is the real saving

Where it wins

  • 52.6% Terminal-Bench-Science 0.1 — 2.1x Fable 5 (24.7%), well clear of Opus 5 (29.0%) and GPT-5.6 Sol (22.4%)
  • 55.8% Terminal-Bench 4.0 agentic coding, ahead of Opus 5 (52.3%) and Fable 5 (42.0%)
  • Cache reads cut 75% to $0.25/1M — ~25% cheaper for typical use, ~45% for heavily agentic work
  • Independent Vals AI evaluation ranks it #1 of 51 on the Vals Index, #1 on LiveCodeBench (90.5%) and MMLU Pro (92.4%)
  • 1M-token context and 128K max output at standard rates, with adaptive thinking always enabled

Where it falls down

  • Base rates are still $10/$50 per 1M — double Claude Opus 5 for anything that is not cache-heavy
  • Anthropic published no SWE-bench Verified or SWE-bench Pro figure for 5.1 at launch
  • On Claude Pro it only runs on pay-as-you-go credits; Max includes it up to 50% of weekly limits
  • Deliberate, high-latency profile — the wrong choice for interactive, latency-bound apps

Skip it if

You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.

Our verdict

The new frontier leader, and the rare upgrade that costs less than the model it replaces. Base $10/$50 pricing did not move, but a 75% cut to cache reads makes typical workloads ~25% cheaper than Fable 5 and heavily agentic ones ~45% cheaper — while more than doubling Fable 5 on agentic science and beating Opus 5 on agentic coding. If you were already on Fable 5, switching is a straight win. If you were on Opus 5 for the price, it still costs 2x on uncached tokens.

Released September 1, 2026 alongside Claude Mythos 5.1, the first update to the Mythos-class line since Fable 5 on June 9. API ID claude-fable-5-1; generally available on the Claude API, Amazon Bedrock, Google Cloud, and Microsoft Foundry. Published launch numbers (Fable 5.1 / Fable 5 / Opus 5 / GPT-5.6 Sol): Terminal-Bench-Science 0.1 52.6 / 24.7 / 29.0 / 22.4; Terminal-Bench 4.0 55.8 / 42.0 / 52.3 / 37.3; CursorBench 3.2.0 73.4 / 70.5 / 70.0 / 67.2; AutomationBench 31.4 / 17.1 / 26.9 / 19.6; OSWorld 2.0 strict 41.7 / 36.1 / 39.6; Humanity's Last Exam (no tools) 60.9 / 57.8 / 56.6; GDPval-AA v2 1853 / 1723 / 1824 / 1711. GDPval-AA v2 is rescaled from the v1 numbers quoted on the Fable 5 page and is not directly comparable to them.

GPT-6 Astra

OpenAI

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.

Input
$10.00/1M
Output
$50.00/1M
Context
1.1M tokens
Speed
Deliberate

What people actually use it for

  • Computer-use agents that fill forms, update CRMs, run QA in a browser — 72.6% on OSWorld 2.0 at ~40 minutes per task vs Sol's 75
  • Agentic coding in Codex with cross-context notes — 57.9% Terminal-Bench 4.0, ahead of Claude Fable 5.1 (55.8%)
  • Frontier math and science — 97.6% FrontierMath Tier 4 and 64.6% Terminal-Bench Science, both well clear of every rival OpenAI tested

Where it wins

  • OSWorld 2.0 72.6% vs 65.7% for GPT-5.6 Sol, in roughly 47% less time per task — the new computer-use ceiling
  • Terminal-Bench 4.0 57.9% — ahead of Claude Fable 5.1 (55.8%), Opus 5 (52.3%) and GPT-5.6 Sol (37.3%)
  • FrontierMath Tier 4 (v2) 97.6% vs Fable 5.1's 87.8%; Terminal-Bench Science 64.6% vs 52.6%; GPQA Diamond 96.0%
  • 1.05M context with 96.3% on OpenAI MRCR 8-needle at 512K–1M (Sol: 73.8%) and 128K max output
  • OpenAI's lowest misaligned-outcome rates to date: 2.4% on its computer-use safety benchmark vs 22.0% for Sol, 0% scope-creep on impossible cyber tasks vs 48%

Where it falls down

  • $10/$50 per 1M — five times GPT-5.6 Sol's $2/$10 and the same premium as Claude Fable 5.1; Fast mode doubles it again
  • Trails Claude Fable 5.1 on Humanity's Last Exam with tools (57.2% vs 65.0%) and on the Artificial Analysis Intelligence Index (61.2 vs 65.7)
  • OpenAI published no SWE-bench Verified or SWE-bench Pro figure at launch, so it does not appear on our SWE-bench leaderboard
  • Rolling out over days, not instantly: Enterprise access is off by default, advanced cyber tasks are refused outside OpenAI Daybreak, and the safety layer can pause or stop legitimate agent runs
  • OpenAI's own system card finds its written reasoning harder to monitor than Sol's

Skip it if

You are cost-sensitive or latency-bound — GPT-5.6 Sol is a fifth of the price — or you need it today in an Enterprise workspace, where it is off by default, or for offensive-security work, which it refuses outside OpenAI Daybreak.

Our verdict

The new computer-use and agentic-coding ceiling, and OpenAI's first model priced like a Mythos-class Claude. Astra beats Claude Fable 5.1 on Terminal-Bench 4.0 (57.9% vs 55.8%), Terminal-Bench Science (64.6% vs 52.6%) and FrontierMath Tier 4 (97.6% vs 87.8%), and it is the only model with a credible OSWorld 2.0 result above 70%. It loses to Fable 5.1 on Humanity's Last Exam and on Artificial Analysis's index, costs five times GPT-5.6 Sol, and ships without a SWE-bench number. If your work is computer use, browser agents or math, it is the pick; for everyday coding at scale, Sol at $2/$10 remains the value default.

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.

Claude Opus 4.8

Anthropic

Anthropic's newest Opus flagship — 69.2% SWE-Bench Pro, 88.6% SWE-Bench Verified, 1890 Arena Elo (121 pts ahead of GPT-5.5), and native parallel subagents. Same $5/$25 price as Opus 4.7.

Input
$5.00/1M
Output
$25.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Running parallel subagent workflows that split, solve, and merge complex engineering tasks
  • Autonomous PR review and multi-file refactors where accuracy matters more than speed
  • Deep research synthesis across 1M-token corpora — patents, codebases, legal documents

Where it wins

  • 69.2% SWE-Bench Pro — new #1, up from Opus 4.7's 64.3%
  • 88.6% SWE-Bench Verified and 83.4% OSWorld computer use
  • Native parallel subagents: orchestrated multi-agent execution in a single call
  • 1890 Arena Elo, 121 points ahead of GPT-5.5

Where it falls down

  • Deliberate pace — not the right pick for latency-sensitive applications
  • Same price tier as Opus 4.7; not a budget option

Skip it if

You need low-latency responses, image generation, or a workflow locked to OpenAI tooling.

Our verdict

The best value at the premium tier now that Claude Fable 5 leads on raw capability. 69.2% SWE-Bench Pro, 1890 Elo, and built-in parallel subagents at $5/$25 — half the price of Fable 5. The smart default for serious coding when you don't need the absolute frontier.

Launched May 27, 2026. Available on Claude API, AWS Bedrock, Google Vertex AI, Microsoft Foundry, and GitHub Copilot. Fast mode available at $10/$50 per 1M tokens.

Kimi K3

Moonshot

Moonshot's 2.8-trillion-parameter multimodal reasoning flagship with always-on thinking — the largest open-weight model ever released and the closest Chinese challenger to the Western frontier.

Input
$3.00/1M
Output
$15.00/1M
Context
1M tokens
Speed
Deliberate

What people actually use it for

  • Hardest reasoning tasks — #4 of all models on AA Intelligence Index v4.1 (57.1), ahead of Claude Opus 4.8
  • Agentic coding at 81.2 FrontierSWE and 88.3 Terminal-Bench 2.0 (Moonshot-reported)
  • 1M-context research synthesis with always-on extended thinking

Where it wins

  • AA Intelligence Index v4.1: 57.1 — #4 overall, behind only Claude Fable 5 and GPT-5.6 Sol, ahead of Claude Opus 4.8
  • FrontierSWE 81.2 and Terminal-Bench 2.0 88.3 — frontier-grade agentic coding numbers
  • Open weights (July 26, 2026) — at 2.8T parameters, the largest open-weight release in history

Where it falls down

  • Most expensive Chinese-lab model ever ($3/$15) with always-on thinking driving high output-token burn and slow responses
  • 2.8T size makes self-hosting impractical despite open weights; consumer signups were paused July 19 over GPU capacity

Skip it if

You need fast responses or predictable output costs — always-on thinking burns tokens.

Our verdict

The first Chinese model to genuinely crowd the Western frontier — #4 on aggregate intelligence ahead of Opus 4.8. The always-on thinking makes it slow and output-heavy, so cost per task runs above the sticker price. A serious Opus-class alternative if latency isn't critical.

Released July 16, 2026; open weights July 26. Cache-hit input $0.30/1M. Subscriptions: Adagio (free) to Vivace $199/mo; full 1M context only on Allegro ($99) and up. New signups paused July 19 near GPU capacity, reopening in batches.

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FAQ

What is the best alternative to GPT-6 Astra?

Claude Fable 5.1 is the strongest overall alternative. It scores 100/100 on coding (GPT-6 Astra: 100/100) and costs $10/1M input vs $10/1M. New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.

What is the cheapest good alternative to GPT-6 Astra?

Claude Opus 4.8 at $5/1M input — 50% cheaper than GPT-6 Astra's $10/1M. It scores 100/100 on coding, so expect a quality step down on the hardest tasks.

Is there an open-source alternative to GPT-6 Astra?

Yes — Kimi K3 is the strongest open-weight replacement for GPT-6 Astra, scoring 96/100 on coding against GPT-6 Astra's 100/100. You can self-host it or run it through hosted APIs at $3/1M input (GPT-6 Astra costs $10/1M), with no per-seat subscription. Self-hosting trades the licence saving for infrastructure you have to run, so it pays off at sustained volume rather than for occasional use.

What is the best OpenAI alternative to GPT-6 Astra?

GPT-5.6 Sol — same provider, same API surface, $2/1M input vs $10/1M. Best OpenAI flagship — leads terminal coding and agentic browsing.

Is GPT-6 Astra still worth using in 2026?

The new computer-use and agentic-coding ceiling, and OpenAI's first model priced like a Mythos-class Claude.