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GPT-4o-mini (2024-07-18) vs GPT-6 Astra Pro

GPT-4o-mini (2024-07-18) costs 83.3x less per output token than GPT-6 Astra Pro ($0.60 vs $50.00 per million). Updated October 22, 2026; 2 benchmarks have a result for both.

GPT-4o-mini (2024-07-18)OpenAI
Coding
No data
Overall
No data
Output $/M
$0.60
0
GPT-6 Astra ProOpenAI
Coding
No data
Overall
No data
Output $/M
$50.00
2
vs boards won of 2 shared

GPT-4o-mini (2024-07-18) or GPT-6 Astra Pro: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick GPT-4o-mini (2024-07-18) for output tokens 83.3x cheaper ($0.60 vs $50.00 per million) and work measured by WeirdML or Chess puzzles, where it leads.

Shared results
2
GPT-4o-mini (2024-07-18) only
44
GPT-6 Astra Pro only
0
Like-for-like categories
2 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GPT-4o-mini (2024-07-18) not benchmarked, GPT-6 Astra Pro not benchmarked.
Widest category
Coding, 81.8 points apart on average over 1 shared benchmark.
Widest single gap
WeirdML: GPT-4o-mini (2024-07-18) 11.8% against GPT-6 Astra Pro 93.6%, 81.8 points apart on a 0 to 100 scale.
Output price
GPT-4o-mini (2024-07-18) $0.60 against GPT-6 Astra Pro $50.00 per million output tokens, 83.3x apart.
Context window
GPT-4o-mini (2024-07-18) takes 128K tokens, GPT-6 Astra Pro 1.05M.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGPT-4o-mini (2024-07-18)BarsGPT-6 Astra ProTies
Coding01
Reasoning01
All shared boards02
CodingLike-for-likeSix of these boards feed the Vibe Coding Index01
Coding benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
Aider polyglot3.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
WeirdML11.8%93.6%GPT-6 Astra Pro
LMArena Text: coding1290Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: software and IT1291Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 39 boards here
IntelligenceNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Intelligence benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
Neither model has a result on 2 boards here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
Agentic work benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
BALROG17.4%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 41 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index01
Reasoning benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
GPQA Diamond (Epoch AI run)37.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
SimpleBench10.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
Chess puzzles3.0%76.0%GPT-6 Astra Pro
Mystery game puzzles12.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
VPCT34.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts1267Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: expert1234Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: hard prompts in English1278Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 15 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
Math benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
OTIS Mock AIME6.9%Not measuredOnly GPT-4o-mini (2024-07-18) measured
FrontierMath, tiers 1 to 30.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
MATH level 552.6%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: math1267Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: mathematical work1271Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 9 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Knowledge benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
SimpleQA Verified8.3%Not measuredOnly GPT-4o-mini (2024-07-18) measured
MMLU76.7%Not measuredOnly GPT-4o-mini (2024-07-18) measured
GeoBench64.0%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: science1286Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: medicine and healthcare1282Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: legal and government1305Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: business and finance1265Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 13 boards here
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Web design benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
Neither model has a result on 9 boards here
GeneralDirectional onlyPublic boards, shown as published, kept out of the index21 boards, none shared
General benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
Creative writing (Lech Mazur)67.2%Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text1286Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: instruction following1258Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: creative writing1268Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Vision1066Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: English1301Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: non-English1266Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: Chinese1265Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: German1272Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: Japanese1216Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: Korean1195Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: French1297Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: Spanish1276Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: Russian1275Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: Polish1244Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: multi-turn1285Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: longer queries1289Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: writing and language1282Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Text: entertainment and media1253Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Vision: English1072Not measuredOnly GPT-4o-mini (2024-07-18) measured
LMArena Vision: Chinese1033Not measuredOnly GPT-4o-mini (2024-07-18) measured
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
BenchmarkGPT-4o-mini (2024-07-18)GPT-6 Astra ProLeader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GPT-4o-mini (2024-07-18)$0.0004Fits in one request
GPT-6 Astra Pro$0.035Fits in one request

GPT-4o-mini (2024-07-18) costs less

Repository review

50K input + 3K output tokens

GPT-4o-mini (2024-07-18)$0.0093Fits in one request
GPT-6 Astra Pro$0.650Fits in one request

GPT-4o-mini (2024-07-18) costs less

Agent loop

200K input + 10K output tokens

GPT-4o-mini (2024-07-18)$0.036Exceeds the context window
GPT-6 Astra Pro$2.50Fits in one request

GPT-4o-mini (2024-07-18) costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GPT-4o-mini (2024-07-18) and GPT-6 Astra Pro
SpecificationOpenAI GPT-4o-mini (2024-07-18)OpenAI GPT-6 Astra Pro
MakerOpenAIOpenAI
WeightsNo public weights listedNo public weights listed
ReleasedJuly 18, 2024September 4, 2026
Context window128K1.05M
Input $/Mtok$0.15$10.00
Output $/Mtok$0.60$50.00
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it00
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GPT-4o-mini (2024-07-18) better than GPT-6 Astra Pro for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o-mini (2024-07-18) for output tokens 83.3x cheaper ($0.60 vs $50.00 per million) and work measured by WeirdML or Chess puzzles, where it leads.

Which is cheaper, GPT-4o-mini (2024-07-18) or GPT-6 Astra Pro?

GPT-4o-mini (2024-07-18) costs $0.15 per million input tokens and $0.60 per million output tokens; GPT-6 Astra Pro costs $10.00 and $50.00. Cost per solved task is known for neither of them.

Which has the bigger context window, GPT-4o-mini (2024-07-18) or GPT-6 Astra Pro?

GPT-6 Astra Pro, with 1.05M tokens against 128K.

How many benchmarks is the GPT-4o-mini (2024-07-18) vs GPT-6 Astra Pro comparison based on?

2 benchmarks have a result for both models as of October 22, 2026. GPT-4o-mini (2024-07-18)'s coding index rests on 0 independent benchmarks and GPT-6 Astra Pro's on 0. Where only one model has a result, the page says so instead of naming a winner.

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