o4 Mini vs Relace Search
Relace Search costs 1.5x less per output token than o4 Mini ($3.00 vs $4.40 per million). Updated October 21, 2026; no benchmark has tested both models yet.
- Coding
- No data
- Overall
- 16.7
- Output $/M
- $4.40
- Coding
- No data
- Overall
- No data
- Output $/M
- $3.00
o4 Mini or Relace Search: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Compare them on price, context and the boards below.
No benchmark has tested both yet. o4 Mini has results on Aider polyglot, SWE-bench Verified and SWE-bench Multimodal; Relace Search has none yet. Compare them on price and context instead.
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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
No call
Only o4 Mini has a AA Intelligence Index result, 16.7.
Directional only
Reasoning
GPQA Diamond
No call
Only o4 Mini has a GPQA Diamond result, 74.5%.
Directional only
Math
AIME
No call
Only o4 Mini has a AIME result, 83.7%.
Directional only
Knowledge
MMLU Pro
No call
Only o4 Mini has a MMLU Pro result, 80.6%.
Directional only
Web design
Design Arena: websites
No call
Only o4 Mini has a Design Arena: websites result, 985.
Directional only
Long documents
Listed context window
Relace Search
Relace Search takes 256K tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Relace Search
o4 Mini $0.0033, Relace Search $0.0025 per turn.
List prices
At a glance
- Coding index
- o4 Mini not benchmarked, Relace Search not benchmarked.
- Widest category
- None yet: no category has been tested on both models.
- Widest single gap
- None yet: no benchmark has tested both models.
- Output price
- o4 Mini $4.40 against Relace Search $3.00 per million output tokens, 1.5x apart.
- Context window
- o4 Mini takes 200K tokens, Relace Search 256K.
Benchmark by benchmark
Every board either model has a result on, a category to a fold; bars are each result on a 0 to 100 scale. Only one model is measured on each, so no row names a leader.
CodingDirectional onlySix of these boards feed the Vibe Coding Index10 boards measured
| Benchmark | o4 Mini | Relace Search | Leader |
|---|---|---|---|
| Aider polyglot | 72.0% | Not measured | Only o4 Mini measured |
| SWE-bench Verified | 64.6% | Not measured | Only o4 Mini measured |
| SWE-bench Multimodal | 33.9% | Not measured | Only o4 Mini measured |
| LiveCodeBench (Vals AI) | 82.2% | Not measured | Only o4 Mini measured |
| LiveCodeBench (Artificial Analysis run) | 85.9% | Not measured | Only o4 Mini measured |
| Terminal-Bench Hard (Artificial Analysis run) | 15.2% | Not measured | Only o4 Mini measured |
| GSO-Bench | 3.6% | Not measured | Only o4 Mini measured |
| WeirdML | 52.6% | Not measured | Only o4 Mini measured |
| LMArena Text: coding | 1368 | Not measured | Only o4 Mini measured |
| LMArena Text: software and IT | 1367 | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 28 boards here | |||
IntelligenceDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | o4 Mini | Relace Search | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | Not measured | Only o4 Mini measured |
| Epoch Capabilities Index | 145.5 | Not measured | Only o4 Mini measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index2 boards measured
| Benchmark | o4 Mini | Relace Search | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 55.6% | Not measured | Only o4 Mini measured |
| METR time horizons | 63.9% | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningDirectional onlyPublic boards, shown as published, kept out of the index16 boards measured
| Benchmark | o4 Mini | Relace Search | Leader |
|---|---|---|---|
| GPQA Diamond | 74.5% | Not measured | Only o4 Mini measured |
| MMMU Pro (Vals AI) | 79.7% | Not measured | Only o4 Mini measured |
| GPQA Diamond (Artificial Analysis run) | 78.4% | Not measured | Only o4 Mini measured |
| Humanity's Last Exam (Artificial Analysis run) | 16.5% | Not measured | Only o4 Mini measured |
| GPQA Diamond (Epoch AI run) | 79.6% | Not measured | Only o4 Mini measured |
| ARC-AGI | 58.7% | Not measured | Only o4 Mini measured |
| ARC-AGI-2 | 6.1% | Not measured | Only o4 Mini measured |
| SimpleBench | 38.7% | Not measured | Only o4 Mini measured |
| Chess puzzles | 22.0% | Not measured | Only o4 Mini measured |
| Mystery game puzzles | 5.0% | Not measured | Only o4 Mini measured |
| VPCT | 57.5% | Not measured | Only o4 Mini measured |
| LMArena Text: hard prompts | 1351 | Not measured | Only o4 Mini measured |
| LMArena Text: expert | 1343 | Not measured | Only o4 Mini measured |
| LMArena Text: hard prompts in English | 1366 | Not measured | Only o4 Mini measured |
| LMArena Vision: diagrams | 1197 | Not measured | Only o4 Mini measured |
| LMArena Vision: homework | 1234 | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 5 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index11 boards measured
| Benchmark | o4 Mini | Relace Search | Leader |
|---|---|---|---|
| AIME | 83.7% | Not measured | Only o4 Mini measured |
| MATH 500 (Vals AI) | 94.2% | Not measured | Only o4 Mini measured |
| MGSM (Vals AI) | 93.4% | Not measured | Only o4 Mini measured |
| AA Math Index | 90.7 | Not measured | Only o4 Mini measured |
| AIME 2025 (Artificial Analysis run) | 90.7% | Not measured | Only o4 Mini measured |
| OTIS Mock AIME | 81.7% | Not measured | Only o4 Mini measured |
| FrontierMath, tiers 1 to 3 | 36.1% | Not measured | Only o4 Mini measured |
| FrontierMath, tier 4 | 4.9% | Not measured | Only o4 Mini measured |
| MATH level 5 | 97.8% | Not measured | Only o4 Mini measured |
| LMArena Text: math | 1389 | Not measured | Only o4 Mini measured |
| LMArena Text: mathematical work | 1379 | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 2 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index14 boards measured
| Benchmark | o4 Mini | Relace Search | Leader |
|---|---|---|---|
| MMLU Pro | 80.6% | Not measured | Only o4 Mini measured |
| LegalBench (Vals AI) | 79.2% | Not measured | Only o4 Mini measured |
| CorpFin (Vals AI) | 59.0% | Not measured | Only o4 Mini measured |
| TaxEval (Vals AI) | 74.8% | Not measured | Only o4 Mini measured |
| MortgageTax (Vals AI) | 64.8% | Not measured | Only o4 Mini measured |
| MedQA (Vals AI) | 96.0% | Not measured | Only o4 Mini measured |
| MedCode (Vals AI) | 33.8% | Not measured | Only o4 Mini measured |
| MMLU Pro (Artificial Analysis run) | 83.2% | Not measured | Only o4 Mini measured |
| SimpleQA Verified | 19.6% | Not measured | Only o4 Mini measured |
| GeoBench | 64.0% | Not measured | Only o4 Mini measured |
| LMArena Text: science | 1354 | Not measured | Only o4 Mini measured |
| LMArena Text: medicine and healthcare | 1361 | Not measured | Only o4 Mini measured |
| LMArena Text: legal and government | 1350 | Not measured | Only o4 Mini measured |
| LMArena Text: business and finance | 1325 | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index6 boards measured
| Benchmark | o4 Mini | Relace Search | Leader |
|---|---|---|---|
| Design Arena: websites | 985 | Not measured | Only o4 Mini measured |
| Design Arena: UI components | 983 | Not measured | Only o4 Mini measured |
| Design Arena: game dev | 1003 | Not measured | Only o4 Mini measured |
| Design Arena: data viz | 990 | Not measured | Only o4 Mini measured |
| Design Arena: 3D | 854 | Not measured | Only o4 Mini measured |
| Design Arena: all code categories | 976 | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 3 boards here | |||
GeneralDirectional onlyPublic boards, shown as published, kept out of the index33 boards measured
| Benchmark | o4 Mini | Relace Search | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 41.1% | Not measured | Only o4 Mini measured |
| MedScribe (Vals AI) | 69.1% | Not measured | Only o4 Mini measured |
| IFBench | 68.7% | Not measured | Only o4 Mini measured |
| Long context reasoning (AA-LCR) | 61.0% | Not measured | Only o4 Mini measured |
| DTBench | 77.6% | Not measured | Only o4 Mini measured |
| LMCA | 26.5% | Not measured | Only o4 Mini measured |
| Fiction.LiveBench | 77.8% | Not measured | Only o4 Mini measured |
| Creative writing (Lech Mazur) | 75.0% | Not measured | Only o4 Mini measured |
| LMArena Text | 1353 | Not measured | Only o4 Mini measured |
| LMArena Text: instruction following | 1320 | Not measured | Only o4 Mini measured |
| LMArena Text: creative writing | 1294 | Not measured | Only o4 Mini measured |
| LMArena Vision | 1194 | Not measured | Only o4 Mini measured |
| LMArena Text: English | 1367 | Not measured | Only o4 Mini measured |
| LMArena Text: non-English | 1337 | Not measured | Only o4 Mini measured |
| LMArena Text: Chinese | 1354 | Not measured | Only o4 Mini measured |
| LMArena Text: German | 1336 | Not measured | Only o4 Mini measured |
| LMArena Text: Japanese | 1308 | Not measured | Only o4 Mini measured |
| LMArena Text: Korean | 1312 | Not measured | Only o4 Mini measured |
| LMArena Text: French | 1364 | Not measured | Only o4 Mini measured |
| LMArena Text: Spanish | 1346 | Not measured | Only o4 Mini measured |
| LMArena Text: Russian | 1334 | Not measured | Only o4 Mini measured |
| LMArena Text: Polish | 1358 | Not measured | Only o4 Mini measured |
| LMArena Text: multi-turn | 1350 | Not measured | Only o4 Mini measured |
| LMArena Text: longer queries | 1315 | Not measured | Only o4 Mini measured |
| LMArena Text: writing and language | 1316 | Not measured | Only o4 Mini measured |
| LMArena Text: entertainment and media | 1308 | Not measured | Only o4 Mini measured |
| LMArena Vision: English | 1200 | Not measured | Only o4 Mini measured |
| LMArena Vision: Chinese | 1218 | Not measured | Only o4 Mini measured |
| LMArena Vision: reading text | 1197 | Not measured | Only o4 Mini measured |
| LMArena Vision: humor | 1199 | Not measured | Only o4 Mini measured |
| LMArena Vision: captioning | 1204 | Not measured | Only o4 Mini measured |
| LMArena Vision: recognizing things | 1218 | Not measured | Only o4 Mini measured |
| LMArena Vision: creative writing | 1166 | Not measured | Only o4 Mini measured |
| Neither model has a result on the other 13 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
Relace Search costs less
Repository review
50K input + 3K output tokens
Relace Search costs less
Agent loop
200K input + 10K output tokens
Relace Search 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 o4 Mini | Relace Search |
|---|---|---|
| Maker | OpenAI | Relace |
| Weights | No public weights listed | No public weights listed |
| Released | April 16, 2025 | December 8, 2025 |
| Context window | 200K | 256K |
| Input $/Mtok | $1.10 | $1.00 |
| Output $/Mtok | $4.40 | $3.00 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is o4 Mini better than Relace Search for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Compare them on price, context and the boards below.
Which is cheaper, o4 Mini or Relace Search?
o4 Mini costs $1.10 per million input tokens and $4.40 per million output tokens; Relace Search costs $1.00 and $3.00. Cost per solved task is known for neither of them.
Which has the bigger context window, o4 Mini or Relace Search?
Relace Search, with 256K tokens against 200K.
Has any benchmark tested both o4 Mini and Relace Search?
No benchmark has tested both yet. o4 Mini has results on Aider polyglot, SWE-bench Verified and SWE-bench Multimodal; Relace Search has none yet. Compare them on price and context instead. Data as of October 21, 2026.