Model comparison
GPT-4.1 mini vs Mercury 2.5
GPT-4.1 mini and Mercury 2.5 score almost the same on the Noometry Index (33.6 vs 33.5), so choose on price, context window or the category you care about most.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-4.1 mini scores higher in 1 category and Mercury 2.5 in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Mercury 2.5 leads 22.4 to 10.8.
- Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.40 / $1.60 for GPT-4.1 mini.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 260K.
Side by side
| GPT-4.1 mini | Mercury 2.5 | |
|---|---|---|
| Provider | OpenAI | Inception |
| Noometry Index | 33.6 | 33.5 |
| Released | 2025-04-14 | 2026-09-08 |
| Weights | Proprietary | Proprietary |
| Context window | 1.05M | 260K |
| Max output | 33K | 66K |
| Input $ / M tokens | $0.40 | $0.04 |
| Output $ / M tokens | $1.60 | $0.15 |
| Results tracked | 47 | 4 |
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Category by category
Coding Mercury 2.5 leads
GPT-4.1 mini: 30.6 (#293), Mercury 2.5: 39.5 (#156)
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| SciCode | 40.4% | 38.5% |
| SWE-bench Verified (bash only) | 23.9% | — |
| Aider Polyglot | 32.4% | — |
| WeirdML | 37.6% | — |
| BigCodeBench Instruct | 48.9% | — |
| LMArena Coding | 1367 | — |
| CadEval | 16% | — |
| ALE-Bench | — | 301.65 |
Agentic & Tool Use Not comparable
GPT-4.1 mini: 33.3 (#55), Mercury 2.5: —
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| Berkeley Function Calling Leaderboard | 50.5% | — |
Reasoning Mercury 2.5 leads
GPT-4.1 mini: 10.8 (#340), Mercury 2.5: 22.4 (#193)
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| CritPt | 0% | 0% |
| ARC-AGI-2 | 0% | — |
| Kagi LLM Benchmark | 48.6% | — |
| ARC-AGI-1 | 3.5% | — |
| Chess Puzzles | 7% | — |
| LMArena Hard Prompts | 1349 | — |
| Mystery Game Puzzles | 7% | — |
| DTBench | 68.8% | — |
| LMCA | 21.1% | — |
| Epoch Capabilities Index | 135.01 | — |
Math Too close to call
GPT-4.1 mini: 24.1 (#270), Mercury 2.5: 23.3 (#272)
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| FrontierMath (Tiers 1-3) | 6.7% | — |
| OTIS Mock AIME 2024-2025 | 44.7% | — |
| ProofBench | — | 3% |
| Omni-MATH | 49.1% | — |
| LMArena Math | 1343 | — |
| MATH Level 5 | 87.3% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
Knowledge Not comparable
GPT-4.1 mini: 34.7 (#194), Mercury 2.5: —
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| GPQA Diamond | 65.8% | — |
| SimpleQA Verified | 12.7% | — |
| MMLU-Pro | 78.3% | — |
| GPQA (HELM) | 61.4% | — |
| LMArena Expert | 1338 | — |
Multimodal Not comparable
GPT-4.1 mini: 35.8 (#82), Mercury 2.5: —
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| LMArena Vision | 1181 | — |
Multilingual Not comparable
GPT-4.1 mini: 45.7 (#166), Mercury 2.5: —
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| LMArena Non-English | 1318 | — |
| LMArena Chinese | 1329 | — |
| LMArena French | 1358 | — |
| LMArena German | 1351 | — |
| LMArena Japanese | 1290 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1324 | — |
| LMArena Spanish | 1319 | — |
Instruction Following Not comparable
GPT-4.1 mini: 73.7 (#118), Mercury 2.5: —
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| IFEval | 90.4% | — |
| LMArena Instruction Following | 1333 | — |
Long Context Not comparable
GPT-4.1 mini: 31.8 (#275), Mercury 2.5: —
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| Fiction.LiveBench | 44.4% | — |
| LMArena Longer Query | 1344 | — |
Writing & Preference Not comparable
GPT-4.1 mini: 48.6 (#199), Mercury 2.5: —
| Benchmark | GPT-4.1 mini | Mercury 2.5 |
|---|---|---|
| LMArena Text | 1340 | — |
| LMArena Creative Writing | 1300 | — |
| EQ-Bench Creative Writing | 1147 | — |
| WildBench | 83.8% | — |
| LMArena Multi-Turn | 1354 | — |
Frequently asked questions
Is GPT-4.1 mini better than Mercury 2.5?
GPT-4.1 mini and Mercury 2.5 score almost the same on the Noometry Index (33.6 vs 33.5), so choose on price, context window or the category you care about most.
Which is cheaper, GPT-4.1 mini or Mercury 2.5?
Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; GPT-4.1 mini lists at $0.40 and $1.60.
Is GPT-4.1 mini or Mercury 2.5 better for coding?
Mercury 2.5 scores higher on coding benchmarks: 39.5 versus 30.6 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 260K.
How many benchmarks do GPT-4.1 mini and Mercury 2.5 share?
2 benchmarks have published results for both models. GPT-4.1 mini has 47 scored results on Noometry and Mercury 2.5 has 4.