Noometry

Model comparison

GPT-6 Astra vs Qwen3-Coder 480B-A35B Instruct

GPT-6 Astra is the stronger model overall, scoring 70.8 to 38.1 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 6.7× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

Last verified . 21 shared benchmarks.

GPT-6 Astra OpenAI

70.8

Rank #1 Confirmed

Qwen3-Coder 480B-A35B Instruct Alibaba (Qwen)

38.1

Rank #190 Confirmed

Summary

  • They share 21 benchmarks with published results for both. GPT-6 Astra scores higher in 9 categories and Qwen3-Coder 480B-A35B Instruct in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Astra leads 85.1 to 25.5.
  • The biggest single-benchmark swing is GSO: 79.4% for GPT-6 Astra and 4.9% for Qwen3-Coder 480B-A35B Instruct.
  • Qwen3-Coder 480B-A35B Instruct is cheaper at $1.50 / $7.50 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
  • GPT-6 Astra accepts more context: 1.05M tokens versus 262K.
  • Qwen3-Coder 480B-A35B Instruct has downloadable open weights; the other is API-only.

Side by side

GPT-6 AstraQwen3-Coder 480B-A35B Instruct
ProviderOpenAIAlibaba (Qwen)
Noometry Index70.838.1
Released2026-09-032025-04
WeightsProprietaryOpen
Context window1.05M262K
Max output128K66K
Input $ / M tokens$10$1.50
Output $ / M tokens$50$7.50
Results tracked5625

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Category by category

Coding GPT-6 Astra leads

GPT-6 Astra: 73.7 (#2), Qwen3-Coder 480B-A35B Instruct: 35.5 (#223)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena WebDev17861275
GSO79.4%4.9%
WeirdML93.6%41.2%
LMArena Coding14871412
ALE-Bench2,951461.45
DeepSWE74.1%—
FrontierCode53.3%—
SWE-bench Verified (bash only)—55.4%
FrontierSWE65.5%—
SciCode56.5%—
MirrorCode46.7%—
AlgoTune—1.44

Agentic & Tool Use GPT-6 Astra leads

GPT-6 Astra: 52.9 (#3), Qwen3-Coder 480B-A35B Instruct: 23.9 (#123)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
Terminal-Bench—27.2%
APEX-Agents64.7%—
Remote Labor Index20.8%—
BALROG68.3%—
GDP.pdf34.2%—
Vending-Bench 215,515—

Reasoning GPT-6 Astra leads

GPT-6 Astra: 85.1 (#1), Qwen3-Coder 480B-A35B Instruct: 25.5 (#149)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena Hard Prompts14621372
ARC-AGI-295%—
Kagi LLM Benchmark—49.5%
NYT Connections (extended)98.1%—
ARC-AGI-198.5%—
CritPt31.7%—
Chess Puzzles72%—
EBR-Bench76.2%—
Mystery Game Puzzles84%—
DTBench97.3%—
LMCA64.4%—
Bench to the Future 30.14—
Epoch Capabilities Index166.45—

Math GPT-6 Astra leads

GPT-6 Astra: 93.5 (#2), Qwen3-Coder 480B-A35B Instruct: 37.6 (#150)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena Math14651365
FrontierMath (Tiers 1-3)93.7%—
FrontierMath Tier 497.6%—
OTIS Mock AIME 2024-2025100%—
ProofBench99%—
FrontierMath Erdős2.9%—

Knowledge GPT-6 Astra leads

GPT-6 Astra: 75.3 (#1), Qwen3-Coder 480B-A35B Instruct: 37.0 (#162)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena Expert14831338
GPQA Diamond95.8%—
Humanity's Last Exam54.8%—
SimpleQA Verified75.6%—
Vectara Hallucination Rate8.7%—

Multimodal Not comparable

GPT-6 Astra: 55.0 (#3), Qwen3-Coder 480B-A35B Instruct: —

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena Vision1281—
Blueprint-Bench 249.7%—
Furniture Assembly80%—
LMArena Document1468—

Multilingual GPT-6 Astra leads

GPT-6 Astra: 53.7 (#61), Qwen3-Coder 480B-A35B Instruct: 47.7 (#148)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena Non-English14301346
LMArena Chinese14841357
LMArena French14561398
LMArena German14401325
LMArena Japanese13791310
LMArena Korean14261305
LMArena Russian14361366
LMArena Spanish14071360

Instruction Following GPT-6 Astra leads

GPT-6 Astra: 76.3 (#44), Qwen3-Coder 480B-A35B Instruct: 71.6 (#147)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena Instruction Following14501355

Long Context GPT-6 Astra leads

GPT-6 Astra: 44.5 (#62), Qwen3-Coder 480B-A35B Instruct: 42.0 (#131)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena Longer Query14561378

Writing & Preference GPT-6 Astra leads

GPT-6 Astra: 75.3 (#7), Qwen3-Coder 480B-A35B Instruct: 55.3 (#147)

BenchmarkGPT-6 AstraQwen3-Coder 480B-A35B Instruct
LMArena Text14411357
LMArena Creative Writing14181333
LMArena Multi-Turn14481365
EQ-Bench Creative Writing2173—

Frequently asked questions

Is GPT-6 Astra better than Qwen3-Coder 480B-A35B Instruct?

GPT-6 Astra is the stronger model overall, scoring 70.8 to 38.1 on the Noometry Index. Qwen3-Coder 480B-A35B Instruct costs 6.7× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

Which is cheaper, GPT-6 Astra or Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is cheaper. It lists at $1.50 per million input tokens and $7.50 per million output tokens; GPT-6 Astra lists at $10 and $50.

Is GPT-6 Astra or Qwen3-Coder 480B-A35B Instruct better for coding?

GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 35.5 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Astra does, with 1.05M tokens against 262K.

How many benchmarks do GPT-6 Astra and Qwen3-Coder 480B-A35B Instruct share?

21 benchmarks have published results for both models. GPT-6 Astra has 56 scored results on Noometry and Qwen3-Coder 480B-A35B Instruct has 25.

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