# Gemma 3 4B vs GPT-6 Astra

> GPT-6 Astra is the stronger model overall, scoring 70.8 to 28.1 on the Noometry Index. Gemma 3 4B costs 400× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemma-3-4b-vs-gpt-6-astra
- Last updated: 2026-10-12
- Shared benchmarks: 20

## Summary

- They share 20 benchmarks with published results for both. Gemma 3 4B scores higher in 0 categories and GPT-6 Astra in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-6 Astra leads 93.5 to 16.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 7.5% for Gemma 3 4B and 100% for GPT-6 Astra.
- Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $10 / $50 for GPT-6 Astra.
- GPT-6 Astra accepts more context: 1.05M tokens versus 131K.
- Gemma 3 4B has downloadable open weights; the other is API-only.

## Snapshot

| | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| Provider | Google | OpenAI |
| Noometry Index | 28.1 | 70.8 |
| Rank | 326 | 1 |
| Context | 131K | 1.05M |
| Input $/M | $0.04 | $10 |
| Output $/M | $0.08 | $50 |
| Weights | Open | Proprietary |

## Coding

- Gemma 3 4B: 35.9 (#215)
- GPT-6 Astra: 73.7 (#2)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| LMArena Coding | 1230 | 1487 |
| DeepSWE | — | 74.1% |
| FrontierCode | — | 53.3% |
| LMArena WebDev | — | 1786 |
| FrontierSWE | — | 65.5% |
| SciCode | — | 56.5% |
| GSO | — | 79.4% |
| WeirdML | — | 93.6% |
| MirrorCode | — | 46.7% |
| ALE-Bench | — | 2,951 |

## Agentic & Tool Use

- Gemma 3 4B: 20.9 (#142)
- GPT-6 Astra: 52.9 (#3)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| APEX-Agents | — | 64.7% |
| Berkeley Function Calling Leaderboard | 19.6% | — |
| Remote Labor Index | — | 20.8% |
| BALROG | — | 68.3% |
| GDP.pdf | — | 34.2% |
| Vending-Bench 2 | — | 15,515 |

## Reasoning

- Gemma 3 4B: 13.2 (#335)
- GPT-6 Astra: 85.1 (#1)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| Chess Puzzles | 0% | 72% |
| LMArena Hard Prompts | 1253 | 1462 |
| DTBench | 50.9% | 97.3% |
| LMCA | 2.8% | 64.4% |
| Epoch Capabilities Index | 116.02 | 166.45 |
| ARC-AGI-2 | — | 95% |
| Kagi LLM Benchmark | 25.2% | — |
| NYT Connections (extended) | — | 98.1% |
| ARC-AGI-1 | — | 98.5% |
| CritPt | — | 31.7% |
| EBR-Bench | — | 76.2% |
| Mystery Game Puzzles | — | 84% |
| Bench to the Future 3 | — | 0.14 |

## Math

- Gemma 3 4B: 16.8 (#292)
- GPT-6 Astra: 93.5 (#2)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 7.5% | 100% |
| LMArena Math | 1239 | 1465 |
| FrontierMath (Tiers 1-3) | — | 93.7% |
| FrontierMath Tier 4 | — | 97.6% |
| ProofBench | — | 99% |
| FrontierMath Erdős | — | 2.9% |

## Knowledge

- Gemma 3 4B: 11.8 (#299)
- GPT-6 Astra: 75.3 (#1)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| GPQA Diamond | 23.2% | 95.8% |
| Vectara Hallucination Rate | 6.4% | 8.7% |
| LMArena Expert | 1223 | 1483 |
| Humanity's Last Exam | — | 54.8% |
| SimpleQA Verified | — | 75.6% |

## Multimodal

- Gemma 3 4B: —
- GPT-6 Astra: 55.0 (#3)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| LMArena Vision | — | 1281 |
| Blueprint-Bench 2 | — | 49.7% |
| Furniture Assembly | — | 80% |
| LMArena Document | — | 1468 |

## Multilingual

- Gemma 3 4B: 42.5 (#194)
- GPT-6 Astra: 53.7 (#61)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| LMArena Non-English | 1273 | 1430 |
| LMArena German | 1281 | 1440 |
| LMArena Russian | 1294 | 1436 |
| LMArena Chinese | — | 1484 |
| LMArena French | — | 1456 |
| LMArena Japanese | — | 1379 |
| LMArena Korean | — | 1426 |
| LMArena Spanish | — | 1407 |

## Instruction Following

- Gemma 3 4B: 65.2 (#225)
- GPT-6 Astra: 76.3 (#44)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| LMArena Instruction Following | 1239 | 1450 |

## Long Context

- Gemma 3 4B: 38.7 (#194)
- GPT-6 Astra: 44.5 (#62)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| LMArena Longer Query | 1273 | 1456 |

## Writing & Preference

- Gemma 3 4B: 42.0 (#239)
- GPT-6 Astra: 75.3 (#7)

| Benchmark | Gemma 3 4B | GPT-6 Astra |
|---|---|---|
| LMArena Text | 1291 | 1441 |
| LMArena Creative Writing | 1271 | 1418 |
| EQ-Bench Creative Writing | 1068 | 2173 |
| LMArena Multi-Turn | 1255 | 1448 |

## FAQ

### Is Gemma 3 4B better than GPT-6 Astra?

GPT-6 Astra is the stronger model overall, scoring 70.8 to 28.1 on the Noometry Index. Gemma 3 4B costs 400× less per token, which makes it the better buy when GPT-6 Astra's lead doesn't matter for your workload.

### Which is cheaper, Gemma 3 4B or GPT-6 Astra?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; GPT-6 Astra lists at $10 and $50.

### Is Gemma 3 4B or GPT-6 Astra better for coding?

GPT-6 Astra scores higher on coding benchmarks: 73.7 versus 35.9 in the Noometry coding category.

### Which has the bigger context window?

GPT-6 Astra does, with 1.05M tokens against 131K.

### How many benchmarks do Gemma 3 4B and GPT-6 Astra share?

20 benchmarks have published results for both models. Gemma 3 4B has 22 scored results on Noometry and GPT-6 Astra has 56.