GPT-5.4 Mini vs Grok 4.3
Grok 4.3 leads GPT-5.4 Mini on coding, 37.4 to 35.8 on the Vibe Coding Index, and Grok 4.3 costs 1.8x less per output token ($2.50 vs $4.50 per million). Updated October 22, 2026; 80 benchmarks have a result for both.
GPT-5.4 Mini or Grok 4.3: which to pick
GPT-5.4 Mini and Grok 4.3 are level for coding, 35.8 against 37.4 on the Vibe Coding Index, so price and context decide.
Pick GPT-5.4 Mini for work measured by LMArena WebDev or AA Coding Index, where it leads. Pick Grok 4.3 for output tokens 1.8x cheaper ($2.50 vs $4.50 per million) and a lower cost per solved task ($0.31 against $0.70).
- Shared results
- 80
- GPT-5.4 Mini only
- 9
- Grok 4.3 only
- 25
- Like-for-like categories
- 7 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.
Coding
Vibe Coding Index, six public coding benchmarks
No call
Level: 35.8 against 37.4, inside 2 points.
5 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.3
Grok 4.3 leads, 24.9 against 24.1.
Same board, both measured
Agentic work
AA Agentic Index
GPT-5.4 Mini
GPT-5.4 Mini leads, 17.9 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.3
Grok 4.3 leads, 91.4% against 83.1%.
Same board, both measured
Math
AIME
No call
Only GPT-5.4 Mini has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
Grok 4.3
Grok 4.3 leads, 85.8% against 84.5%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Grok 4.3 has a Design Arena: websites result, 1196.
Directional only
Long documents
Listed context window
Grok 4.3
Grok 4.3 takes 1M tokens against 400K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.3
GPT-5.4 Mini $0.0030, Grok 4.3 $0.0025 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.3
GPT-5.4 Mini $0.70, Grok 4.3 $0.31.
Published attempt cost and pass rate
At a glance
- Coding index
- GPT-5.4 Mini 35.8 from 5 benchmarks, Grok 4.3 37.4 from 3 benchmarks.
- Widest category
- Agentic work, 9.5 points apart on average over 6 shared benchmarks.
- Widest single gap
- SAGE (Vals AI): GPT-5.4 Mini 50.8% against Grok 4.3 19.7%, 31.1 points apart on a 0 to 100 scale.
- Output price
- GPT-5.4 Mini $4.50 against Grok 4.3 $2.50 per million output tokens, 1.8x apart.
- Context window
- GPT-5.4 Mini takes 400K tokens, Grok 4.3 1M.
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.
| Category | GPT-5.4 Mini | Bars | Grok 4.3 | Ties |
|---|---|---|---|---|
| Coding | 14 | 1 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 4 | 2 | ||
| Reasoning | 6 | 5 | ||
| Math | 4 | 2 | ||
| Knowledge | 6 | 4 | ||
| General | 25 | 5 | ||
| All shared boards | 59 | 20 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index141
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| LMArena WebDev | 1397 | 1358 | GPT-5.4 Mini |
| AA Coding Index | 56.1 | 42.2 | GPT-5.4 Mini |
| LiveCodeBench (Vals AI) | 81.5% | 84.5% | Grok 4.3 |
| SWE-bench Verified (Vals AI) | 73.0% | 71.4% | GPT-5.4 Mini |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only GPT-5.4 Mini measured |
| Vibe Code Bench (Vals AI) | 48.0% | 19.4% | GPT-5.4 Mini |
| Code migration (Vals AI) | 12.9% | 6.8% | GPT-5.4 Mini |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 54.7% | 42.0% | GPT-5.4 Mini |
| SkillsBench (Vals AI) | Not measured | 40.6% | Only Grok 4.3 measured |
| SciCode | 52.1% | 48.3% | GPT-5.4 Mini |
| Terminal-Bench Hard (Artificial Analysis run) | 52.3% | 37.9% | GPT-5.4 Mini |
| FrontierCode | 27.0% | Not measured | Only GPT-5.4 Mini measured |
| WeirdML | 60.3% | 49.9% | GPT-5.4 Mini |
| ALE-Bench | 1188.6 | 944.2 | GPT-5.4 Mini |
| LMArena Text: coding | 1438 | 1415 | GPT-5.4 Mini |
| LMArena Text: software and IT | 1436 | 1416 | GPT-5.4 Mini |
| LMArena WebDev: React | 1386 | 1353 | GPT-5.4 Mini |
| LMArena WebDev: HTML | 1419 | 1367 | GPT-5.4 Mini |
| LMArena WebDev: from an image | Not measured | 1375 | Only Grok 4.3 measured |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.1 | 24.9 | Grok 4.3 |
| Epoch Capabilities Index | 148.7 | Not measured | Only GPT-5.4 Mini measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| AA Agentic Index | 17.9 | 15.5 | GPT-5.4 Mini |
| Design Arena: agents building web apps | Not measured | 1126 | Only Grok 4.3 measured |
| Design Arena: agents building full-stack apps | Not measured | 1006 | Only Grok 4.3 measured |
| Design Arena: agents building mobile apps | Not measured | 1058 | Only Grok 4.3 measured |
| Design Arena: agents building Android apps | Not measured | 962 | Only Grok 4.3 measured |
| Design Arena: agents building Godot games | Not measured | 914 | Only Grok 4.3 measured |
| Design Arena: agents building games | Not measured | 1007 | Only Grok 4.3 measured |
| Design Arena: HTML slides | Not measured | 959 | Only Grok 4.3 measured |
| Design Arena: PowerPoint slides | Not measured | 988 | Only Grok 4.3 measured |
| Design Arena: spreadsheets | Not measured | 879 | Only Grok 4.3 measured |
| Finance Agent (Vals AI) | 45.4% | 37.7% | GPT-5.4 Mini |
| Tax Agent Bench (Vals AI) | 8.8% | 6.2% | GPT-5.4 Mini |
| Legal Research Bench (Vals AI) | 12.5% | 15.4% | Grok 4.3 |
| Excel Modeling Benchmark (Vals AI) | 45.4% | 18.4% | GPT-5.4 Mini |
| τ²-Bench Telecom | 83.3% | 97.7% | Grok 4.3 |
| DeepResearch Bench | 36.3% | Not measured | Only GPT-5.4 Mini measured |
| Vending-Bench 2 | Not measured | $35 | Only Grok 4.3 measured |
| LMArena Search | Not measured | 1166 | Only Grok 4.3 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index65
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| GPQA Diamond | 83.1% | 91.4% | Grok 4.3 |
| MMMU Pro (Vals AI) | 79.3% | 83.1% | Grok 4.3 |
| GPQA Diamond (Artificial Analysis run) | 87.5% | 90.1% | Grok 4.3 |
| Humanity's Last Exam (Artificial Analysis run) | 28.1% | 37.2% | Grok 4.3 |
| GPQA Diamond (Epoch AI run) | 86.9% | 88.8% | Grok 4.3 |
| ARC-AGI | 63.7% | Not measured | Only GPT-5.4 Mini measured |
| ARC-AGI-2 | 18.9% | Not measured | Only GPT-5.4 Mini measured |
| Chess puzzles | 23.0% | 18.0% | GPT-5.4 Mini |
| Mystery game puzzles | 11.0% | Not measured | Only GPT-5.4 Mini measured |
| LMArena Text: hard prompts | 1424 | 1396 | GPT-5.4 Mini |
| LMArena Text: expert | 1435 | 1384 | GPT-5.4 Mini |
| LMArena Text: hard prompts in English | 1420 | 1402 | GPT-5.4 Mini |
| LMArena Vision: diagrams | 1266 | 1241 | GPT-5.4 Mini |
| LMArena Vision: homework | 1285 | 1241 | GPT-5.4 Mini |
| Kagi LLM Benchmark | 37.9% | Not measured | Only GPT-5.4 Mini measured |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index42
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| AIME | 95.6% | Not measured | Only GPT-5.4 Mini measured |
| OTIS Mock AIME | 88.9% | 93.3% | Grok 4.3 |
| FrontierMath, tiers 1 to 3 | 51.2% | 42.8% | GPT-5.4 Mini |
| FrontierMath, tier 4 | 9.8% | 14.6% | Grok 4.3 |
| ProofBench | 21.0% | 11.0% | GPT-5.4 Mini |
| LMArena Text: math | 1418 | 1387 | GPT-5.4 Mini |
| LMArena Text: mathematical work | 1429 | 1396 | GPT-5.4 Mini |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index64
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| MMLU Pro | 84.5% | 85.8% | Grok 4.3 |
| LegalBench (Vals AI) | Not measured | 84.5% | Only Grok 4.3 measured |
| CaseLaw (Vals AI) | 51.7% | 79.3% | Grok 4.3 |
| CorpFin (Vals AI) | 60.9% | 68.5% | Grok 4.3 |
| TaxEval (Vals AI) | 71.2% | 70.8% | GPT-5.4 Mini |
| MortgageTax (Vals AI) | 63.5% | 48.3% | GPT-5.4 Mini |
| MedCode (Vals AI) | Not measured | 38.1% | Only Grok 4.3 measured |
| SimpleQA Verified | 29.4% | 33.2% | Grok 4.3 |
| LMArena Text: science | 1417 | 1399 | GPT-5.4 Mini |
| LMArena Text: medicine and healthcare | 1395 | 1384 | GPT-5.4 Mini |
| LMArena Text: legal and government | 1414 | 1386 | GPT-5.4 Mini |
| LMArena Text: business and finance | 1418 | 1381 | GPT-5.4 Mini |
| Neither model has a result on the other 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1196 | Only Grok 4.3 measured |
| Design Arena: UI components | Not measured | 1190 | Only Grok 4.3 measured |
| Design Arena: game dev | Not measured | 1173 | Only Grok 4.3 measured |
| Design Arena: data viz | Not measured | 1179 | Only Grok 4.3 measured |
| Design Arena: 3D | Not measured | 1124 | Only Grok 4.3 measured |
| Design Arena: all code categories | Not measured | 1186 | Only Grok 4.3 measured |
| Design Arena: SVG | Not measured | 1080 | Only Grok 4.3 measured |
| Design Arena: ASCII art | Not measured | 1125 | Only Grok 4.3 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index255
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | Not measured | 51.7% | Only Grok 4.3 measured |
| SAGE (Vals AI) | 50.8% | 19.7% | GPT-5.4 Mini |
| MedScribe (Vals AI) | Not measured | 74.4% | Only Grok 4.3 measured |
| Vals Multimodal Index | 54.2% | 43.3% | GPT-5.4 Mini |
| IFBench | 73.3% | 83.3% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 77.0% | 75.0% | GPT-5.4 Mini |
| DTBench | 80.0% | 90.7% | Grok 4.3 |
| LMCA | 40.8% | 38.3% | GPT-5.4 Mini |
| LMArena Text | 1412 | 1397 | GPT-5.4 Mini |
| LMArena Text: instruction following | 1405 | 1366 | GPT-5.4 Mini |
| LMArena Text: creative writing | 1370 | 1380 | Grok 4.3 |
| LMArena Vision | 1245 | 1229 | GPT-5.4 Mini |
| LMArena Text: English | 1412 | 1404 | GPT-5.4 Mini |
| LMArena Text: non-English | 1405 | 1385 | GPT-5.4 Mini |
| LMArena Text: Chinese | 1446 | 1422 | GPT-5.4 Mini |
| LMArena Text: German | 1408 | 1395 | GPT-5.4 Mini |
| LMArena Text: Japanese | 1375 | 1379 | Grok 4.3 |
| LMArena Text: Korean | 1370 | 1354 | GPT-5.4 Mini |
| LMArena Text: French | 1441 | 1411 | GPT-5.4 Mini |
| LMArena Text: Spanish | 1405 | 1399 | GPT-5.4 Mini |
| LMArena Text: Russian | 1417 | 1399 | GPT-5.4 Mini |
| LMArena Text: Polish | 1415 | 1398 | GPT-5.4 Mini |
| LMArena Text: multi-turn | 1429 | 1406 | GPT-5.4 Mini |
| LMArena Text: longer queries | 1408 | 1393 | GPT-5.4 Mini |
| LMArena Text: writing and language | 1393 | 1385 | GPT-5.4 Mini |
| LMArena Text: entertainment and media | 1373 | 1370 | GPT-5.4 Mini |
| LMArena Vision: English | 1244 | 1235 | GPT-5.4 Mini |
| LMArena Vision: Chinese | 1286 | 1257 | GPT-5.4 Mini |
| LMArena Vision: reading text | 1253 | 1235 | GPT-5.4 Mini |
| LMArena Vision: humor | 1235 | 1222 | GPT-5.4 Mini |
| LMArena Vision: recognizing things | 1218 | 1217 | GPT-5.4 Mini |
| LMArena Vision: creative writing | 1222 | 1237 | Grok 4.3 |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-5.4 Mini | Grok 4.3 | Leader |
|---|---|---|---|
| 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
Grok 4.3 costs less
Repository review
50K input + 3K output tokens
GPT-5.4 Mini costs less
Agent loop
200K input + 10K output tokens
GPT-5.4 Mini 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.
| Specification | OpenAI GPT-5.4 Mini | SpaceXAI Grok 4.3 |
|---|---|---|
| Maker | OpenAI | xAI |
| Weights | No public weights listed | No public weights listed |
| Released | March 17, 2026 | April 30, 2026 |
| Context window | 400K | 1M |
| Input $/Mtok | $0.75 | $1.25 |
| Output $/Mtok | $4.50 | $2.50 |
| Coding index | 35.8 | 37.4 |
| Independent measurements behind it | 5 | 3 |
| Cost per solved task | $0.70 | $0.31 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-5.4 Mini better than Grok 4.3 for coding?
GPT-5.4 Mini and Grok 4.3 are level for coding, 35.8 against 37.4 on the Vibe Coding Index, so price and context decide. Pick GPT-5.4 Mini for work measured by LMArena WebDev or AA Coding Index, where it leads. Pick Grok 4.3 for output tokens 1.8x cheaper ($2.50 vs $4.50 per million) and a lower cost per solved task ($0.31 against $0.70).
Which is cheaper, GPT-5.4 Mini or Grok 4.3?
GPT-5.4 Mini costs $0.75 per million input tokens and $4.50 per million output tokens; Grok 4.3 costs $1.25 and $2.50. Per solved SWE-bench Verified task, GPT-5.4 Mini costs $0.70 and Grok 4.3 $0.31.
Which has the bigger context window, GPT-5.4 Mini or Grok 4.3?
Grok 4.3, with 1M tokens against 400K.
How many benchmarks is the GPT-5.4 Mini vs Grok 4.3 comparison based on?
80 benchmarks have a result for both models as of October 22, 2026. GPT-5.4 Mini's coding index rests on 5 independent benchmarks and Grok 4.3's on 3. Where only one model has a result, the page says so instead of naming a winner.