GPT-6 Astra vs Step 5 Preview

Updated November 5, 2026. Rank says GPT-6 Astra is ahead. Price, access, and your workload can each overturn that. Public scores include evidence status and uncertainty.

Decision reading

GPT-6 Astra has the higher public point estimate, 86.04 versus 56.81. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. 8 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

Model A

GPT-6 Astra

OpenAI

86.04/100

Supported · Public rank #3

90% interval 80.5–91.6

Model B

Step 5 Preview

StepFun

56.81/100

Estimated · Public rank #60

Conditional range 47.1–66.5

Shared results: 8
GPT-6 Astra only: 40
Step 5 Preview only: 16
Like-for-like categories: 1 / 8

Supported: GPT-6 Astra · Estimated: Step 5 Preview. Conditional ranges do not establish rank confidence.How the comparison works

Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

Long documents
Prompts that approach the documented context limit
GPT-6 Astra
GPT-6 Astra has the larger documented context window.
Confidence: documented
Chat turn cost
1K fresh input + 500 output tokens
Step 5 Preview
Step 5 Preview has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Cache-heavy agent loop cost
200K cached + 20K fresh input + 10K output tokens
Step 5 Preview
Step 5 Preview has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates

Show secondary and unsupported calls

Repository review cost
50K fresh input + 3K output tokens
Step 5 Preview
Step 5 Preview has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.
Confidence: listed-rates
Coding work
Code generation, repair, and software-engineering tasks
Not enough matched evidence
Step 5 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like.
Confidence: limited
Agentic work
Tool use, computer use, and multi-step task completion
Not enough matched evidence
Step 5 Preview is scored on Estimated evidence for agentic, so the reading is directional rather than like-for-like.
Confidence: limited

Which one for a specific job

Choose a job from the LLM Selector's task catalog to see the category row it rests on, under the same basis rules as the table below. A directional row stays directional; choosing a job never creates a winner.

Pick the job you would use them for

The same task catalog as the LLM Selector. Each job names the evidence surface it rests on; nothing here adds a new score.

74.5GPT-6 Astra48.8Step 5 Preview

Directional only · BenchAlign v5.8

GPT-6 Astra has the higher coding point estimate. Conditional score ranges do not establish rank confidence.

Coding scores combine specific tasks and setups. Match the editor, harness, and effort to your workflow.

Open the coding leaderboard Shortlist models for this job

Same basis rules as the category table below

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

BrowseCompAgentic
Normalized gap 2.8
GPT-6 Astra:91.5%
Step 5 Preview:88.7%
GPT-6 Astra source Step 5 Preview source
AutomationBenchAgentic
Normalized gap 2.6
GPT-6 Astra:41.4%
Step 5 Preview:44.0%
GPT-6 Astra source Step 5 Preview source

Bars run 0–100 on each benchmark’s normalized display scale

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign v5.8 lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Knowledge

Like-for-like

GPT-6 Astra: 85.5; Supported · #4/177
Step 5 Preview: 61.0; Supported · #44/177
Basis: BenchAlign v5.8 lane · 7 vs 2 public rows
Reading: GPT-6 Astra leads

Agentic

Directional only

GPT-6 Astra: 76.0; Supported · #7/135
Step 5 Preview: 55.3; Estimated · #42/135
Basis: BenchAlign v5.8 lane · 16 vs 13 public rows
Reading: Directional only

Coding

Directional only

GPT-6 Astra: 74.5; Supported · #5/156
Step 5 Preview: 48.8; Estimated · #47/156
Basis: BenchAlign v5.8 lane · 8 vs 6 public rows
Reading: Directional only

Reasoning

Not comparable

GPT-6 Astra: 93.3; #1/26
Step 5 Preview: 82.5; Unranked · 2 rankable rows
Basis: Provisional lane · 2 vs 0 weighted rows
Reading: Not comparable

Multimodal

Not comparable

GPT-6 Astra: 88.2; Unranked · 3 rankable rows
Step 5 Preview: 73.3; #32/58
Basis: Provisional lane · 0 vs 2 weighted rows
Reading: Not comparable

Multilingual

Not comparable

GPT-6 Astra: Not ranked
Step 5 Preview: Not ranked
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Instruction following

Not comparable

GPT-6 Astra: Not ranked
Step 5 Preview: Not ranked
Basis: Provisional lane · 0 vs 0 weighted rows
Reading: Not comparable

Math

Not comparable

GPT-6 Astra: 97.3; Unranked · 2 rankable rows
Step 5 Preview: Not ranked
Basis: Provisional lane · 2 vs 0 weighted rows
Reading: Not comparable

Category scores with the server-provided evidence basis for GPT-6 Astra and Step 5 Preview
Category	GPT-6 Astra	Step 5 Preview	Basis	Reading
Knowledge	85.5Supported · #4/177	61.0Supported · #44/177	Like-for-likeBenchAlign v5.8 lane · 7 vs 2 public rows	GPT-6 Astra leads
Agentic	76.0Supported · #7/135	55.3Estimated · #42/135	Directional onlyBenchAlign v5.8 lane · 16 vs 13 public rows	Directional only
Coding	74.5Supported · #5/156	48.8Estimated · #47/156	Directional onlyBenchAlign v5.8 lane · 8 vs 6 public rows	Directional only
Reasoning	93.3#1/26	82.5Unranked · 2 rankable rows	Not comparableProvisional lane · 2 vs 0 weighted rows	Not comparable
Multimodal	88.2Unranked · 3 rankable rows	73.3#32/58	Not comparableProvisional lane · 0 vs 2 weighted rows	Not comparable
Multilingual	Not ranked	Not ranked	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Instruction following	Not ranked	Not ranked	Not comparableProvisional lane · 0 vs 0 weighted rows	Not comparable
Math	97.3Unranked · 2 rankable rows	Not ranked	Not comparableProvisional lane · 2 vs 0 weighted rows	Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign v5.8) differ from the provisional-lane categories. Unranked scores sit on the provisional lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Supported evidence per lane · bars run 0–100Methodology

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

GPT-6 Astra: $0.035; Fits in one request
Step 5 Preview: $0.00235; Fits in one request

Step 5 Preview has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

GPT-6 Astra: $0.65; Fits in one request
Step 5 Preview: $0.0581; Fits in one request

Step 5 Preview has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

GPT-6 Astra: $0.9; Fits in one request
Step 5 Preview: $0.057; Fits in one request

Step 5 Preview has the lower modeled cost

Costs use the listed standard API rates.

Cached input falls back to the list input rate only where a cached rate is unpublished

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

SpecificationGPT-6 AstraStep 5 Preview

Context window

Maximum documented context; output-token limits may be lower.

GPT-6 Astra

1.05M

OpenAI GPT-6 Astra model documentation

Step 5 Preview

StepFun Step 5 Preview model documentation

API model ID

GPT-6 Astra

gpt-6-astra

OpenAI GPT-6 Astra model documentation

Step 5 Preview

step-5-preview

StepFun Step 5 Preview model documentation

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

GPT-6 Astra

$1 per 1M cached input tokens

OpenAI GPT-6 Astra model documentation

Step 5 Preview

$0.05 per 1M cached input tokens

StepFun pricing and rate limits

Documented inputs

GPT-6 Astra

text, image

OpenAI GPT-6 Astra model documentation

Step 5 Preview

text, image, video

StepFun Step 5 Preview model documentation

Documented outputs

GPT-6 Astra

text

OpenAI GPT-6 Astra model documentation

Step 5 Preview

text

StepFun Step 5 Preview model documentation

Provider availability

GPT-6 Astra

Limited Availability · OpenAI Responses API, OpenAI Chat Completions API, ChatGPT Plus, Pro, Business, and Enterprise, Microsoft Azure, AWS Bedrock

OpenAI GPT-6 Astra model documentation

Step 5 Preview

Preview · StepFun Open Platform API, Hugging Face, self-hosted inference

StepFun Step 5 Preview model documentation

Reasoning profile

GPT-6 Astra

Reasoning

Step 5 Preview

Reasoning

Weight access

GPT-6 Astra

Proprietary

Step 5 Preview

Open Weight

License

GPT-6 Astra

Proprietary

Step 5 Preview

Open Weight

Release date

GPT-6 Astra

2026-09-03

Step 5 Preview

2026-09-20

If you already use one of these models

Deployment change: The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal: GPT-6 Astra has the higher public point estimate, 86.04 versus 56.81. Their conditional score ranges do not overlap. These ranges do not establish rank confidence.
Workload cost: Repository review: $0.65 vs $0.0581. Cache-heavy agent loop: $0.9 vs $0.057.
Context tradeoff: GPT-6 Astra has the larger documented window (1.05M).

Run the same representative tasks against both endpoints before changing production traffic.

Questions

Which is better, GPT-6 Astra or Step 5 Preview?

GPT-6 Astra has the higher public point estimate, 86.04 versus 56.81. Their conditional score ranges do not overlap. These ranges do not establish rank confidence. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, GPT-6 Astra or Step 5 Preview?

GPT-6 Astra scores higher for coding on the public lane, 74.5 to 48.8. Step 5 Preview is scored on Estimated evidence for coding, so the reading is directional rather than like-for-like. BenchLM does not name a winner for coding from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which is better for agentic tasks, GPT-6 Astra or Step 5 Preview?

GPT-6 Astra scores higher for agentic tasks on the public lane, 76 to 55.3. Step 5 Preview is scored on Estimated evidence for agentic tasks, so the reading is directional rather than like-for-like. BenchLM does not name a winner for agentic tasks from a directional reading; read the shared benchmark rows directly and test the models on the same task set.

Which costs less, GPT-6 Astra or Step 5 Preview?

For the stated presets, chat costs $0.035 on GPT-6 Astra and $0.00235 on Step 5 Preview; repository review costs $0.65 and $0.0581; the cache-heavy agent loop costs $0.9 and $0.057. Costs use the listed standard API rates.

Which has the larger context window, GPT-6 Astra or Step 5 Preview?

GPT-6 Astra has the larger documented context window: 1.05M, compared with 1M.

Self-host vs API cost

Estimates at 50,000 req/day · 1000 tokens/req average.

GPT-6 Astra

API / mo$45,000

Self-host / moNot listed

Break-even—

Proprietary model — self-hosting not applicable.

Step 5 Preview

API / mo$2,775

Self-host / mo$27,962

Break-even617M/day

Model the full break-even

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence64 rows

Agentic

LifeVal
GPT-6 Astra80.6%
Source
Step 5 Preview—
Not directly comparable
BrowseComp
GPT-6 Astra91.5%
Source
Step 5 Preview88.7%
Source
GPT-6 Astra leads this result
OSWorld 2.0
GPT-6 Astra72.6%
Source
Step 5 Preview—
Not directly comparable
Terminal-Bench 4.0
GPT-6 Astra57.90%
Source
Step 5 Preview33.30%
Source
GPT-6 Astra leads this result
Terminal-Bench-Science 0.1
GPT-6 Astra64.6%
Source
Step 5 Preview—
Not directly comparable
ExploitGym
GPT-6 Astra42.4%
Source
Step 5 Preview—
Not directly comparable
Agents' Last Exam
GPT-6 Astra59.3%
Source
Step 5 Preview29.5%
Source
GPT-6 Astra leads this result
AutomationBench
GPT-6 Astra41.4%
Source
Step 5 Preview44.0%
Source
Step 5 Preview leads this result
HLE w/ tools
GPT-6 Astra57.2%
Source
Step 5 Preview—
Not directly comparable
Terminal-Bench 2.1 (Vals)
GPT-6 Astra87.3%
Source
Step 5 Preview—
Not directly comparable
ApprenticeBench
GPT-6 Astra68%
Source
Step 5 Preview—
Not directly comparable
CWE-bench v1
GPT-6 Astra68.0%
Source
Step 5 Preview—
Not directly comparable
Hermes Index
Shared source
GPT-6 Astra56.3%
Step 5 Preview32.8%
GPT-6 Astra leads this result
Hermes Bench
Shared source
GPT-6 Astra73.7%
Step 5 Preview69.2%
GPT-6 Astra leads this result
MazeBench
GPT-6 Astra23%
Source
Step 5 Preview—
Not directly comparable
OSWorld 2.1
GPT-6 Astra75.8%
Source
Step 5 Preview—
Not directly comparable
Terminal-Bench 2.1
GPT-6 Astra—
Step 5 Preview85.0%
Source
Not directly comparable
CyberGym
GPT-6 Astra—
Step 5 Preview84.7%
Source
Not directly comparable
Toolathlon-Verified
GPT-6 Astra—
Step 5 Preview74.1%
Source
Not directly comparable
MCP Atlas
GPT-6 Astra—
Step 5 Preview85.6%
Source
Not directly comparable
JobBench
GPT-6 Astra—
Step 5 Preview59.0%
Source
Not directly comparable
APEX-Agents
GPT-6 Astra—
Step 5 Preview37.8%
Source
Not directly comparable
DRACO
GPT-6 Astra—
Step 5 Preview83.3%
Source
Not directly comparable

Coding

ScarfBench
GPT-6 Astra65.4%
Source
Step 5 Preview—
Not directly comparable
DeepSWE
GPT-6 Astra74.1%
Source
Step 5 Preview67.7%
Source
GPT-6 Astra leads this result
FrontierCode 1.1 Main
GPT-6 Astra53.3%
Source
Step 5 Preview—
Not directly comparable
FrontierCode 1.1 Extended
GPT-6 Astra64.5%
Source
Step 5 Preview—
Not directly comparable
FrontierSWE v2
GPT-6 Astra65.5%
Source
Step 5 Preview—
Not directly comparable
PostTrainBench v1.1
GPT-6 Astra44.3%
Source
Step 5 Preview—
Not directly comparable
Bug Hunt Bench
GPT-6 Astra45.0 fixes
Source
Step 5 Preview—
Not directly comparable
FrontierCode 2.0
GPT-6 Astra42.8%
Source
Step 5 Preview—
Not directly comparable
Terminal-Bench 2.1
GPT-6 Astra—
Step 5 Preview85.0%
Source
Not directly comparable
SciCode
GPT-6 Astra—
Step 5 Preview58.9%
Source
Not directly comparable
ProgramBench
GPT-6 Astra—
Step 5 Preview80.5%
Source
Not directly comparable
sweMarathon
GPT-6 Astra—
Step 5 Preview72.7%
Source
Not directly comparable
MLS-Bench Lite
GPT-6 Astra—
Step 5 Preview40.5%
Source
Not directly comparable

Reasoning

STEMBench
GPT-6 Astra2.81
Source
Step 5 Preview—
Not directly comparable
ARC-AGI-1
GPT-6 Astra97.50%
Source
Step 5 Preview—
Not directly comparable
ARC-AGI-2
GPT-6 Astra95%
Source
Step 5 Preview—
Not directly comparable
ARC-AGI-3
GPT-6 Astra62.7%
Source
Step 5 Preview—
Not directly comparable
GeneBench-Pro
GPT-6 Astra37.8%
Source
Step 5 Preview—
Not directly comparable
MRCR v2 256K-512K
GPT-6 Astra100.0%
Source
Step 5 Preview—
Not directly comparable
MRCR v2 512K-1M
GPT-6 Astra96.3%
Source
Step 5 Preview—
Not directly comparable
GraphWalks BFS 256K–1M
GPT-6 Astra71.8%
Source
Step 5 Preview—
Not directly comparable
ARC-AGI-3 Provider Adapter
GPT-6 Astra98.55%
Source
Step 5 Preview—
Not directly comparable
CritPt
GPT-6 Astra—
Step 5 Preview20.9%
Source
Not directly comparable

Multimodal

ExtractBench Pro
GPT-6 Astra58%
Source
Step 5 Preview—
Not directly comparable
ExtractBench (LlamaIndex)
GPT-6 Astra91.91%
Source
Step 5 Preview—
Not directly comparable
ParseBench
GPT-6 Astra69.81%
Source
Step 5 Preview—
Not directly comparable
ScreenSpot Pro
GPT-6 Astra92.7%
Source
Step 5 Preview—
Not directly comparable
BenchCAD Vision2Code (tools)
GPT-6 Astra0.959
Source
Step 5 Preview—
Not directly comparable
OfficeQA Pro
GPT-6 Astra—
Step 5 Preview60.3%
Source
Not directly comparable
MMMU-Pro
GPT-6 Astra—
Step 5 Preview76%
Source
Not directly comparable

Knowledge

GPQA
GPT-6 Astra96%
Source
Step 5 Preview—
Not directly comparable
GPQA-D
GPT-6 Astra96.0%
Source
Step 5 Preview93.5%
Source
GPT-6 Astra leads this result
HealthBench (raw)
GPT-6 Astra56.9%
Source
Step 5 Preview—
Not directly comparable
HealthBench (length-adjusted)
GPT-6 Astra58.3%
Source
Step 5 Preview—
Not directly comparable
HealthBench Professional
GPT-6 Astra64.7%
Source
Step 5 Preview—
Not directly comparable
HealthBench Professional (raw)
GPT-6 Astra68.2%
Source
Step 5 Preview—
Not directly comparable
HealthBench Hard
GPT-6 Astra36.6%
Source
Step 5 Preview—
Not directly comparable
HLE
GPT-6 Astra—
Step 5 Preview46.5%
Source
Not directly comparable

Instruction following

Gray Swan IPI (15 attempts)
GPT-6 Astra8.5%
Source
Step 5 Preview—
Not directly comparable

Math

FrontierMath v2 (Tier 4)
GPT-6 Astra97.600%
Source
Step 5 Preview—
Not directly comparable
FrontierMath v2 (Tiers 1-3)
GPT-6 Astra93.684%
Source
Step 5 Preview—
Not directly comparable

64 public results · 8 shared

Related comparisons

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Last updated November 5, 2026

GPT-6 Astra vs Step 5 Preview

Decision reading

Which one for your work

Long documents

Chat turn cost

Cache-heavy agent loop cost

Repository review cost

Coding work

Agentic work

Which one for a specific job

What is actually comparable

Shape of the matched evidence

Category results, on a stated basis

Knowledge

Agentic

Coding

Reasoning

Multimodal

Multilingual

Instruction following

Math

What each workload costs

Chat turn

Repository review

Cache-heavy agent loop

Specification differences

Context window

API model ID

Cached-input rate

Documented inputs

Documented outputs

Provider availability

Reasoning profile

Weight access

License

Release date

If you already use one of these models

Questions

Which is better, GPT-6 Astra or Step 5 Preview?

Which is better for coding, GPT-6 Astra or Step 5 Preview?

Which is better for agentic tasks, GPT-6 Astra or Step 5 Preview?

Which costs less, GPT-6 Astra or Step 5 Preview?

Which has the larger context window, GPT-6 Astra or Step 5 Preview?

Self-host vs API cost

Benchmark evidence

Agentic

Coding

Reasoning

Multimodal

Knowledge

Instruction following

Math

Related comparisons

Watch GPT-6 Astra vs Step 5 Preview