Model comparison
Claude Opus 4.8 vs GPT-4.1 mini
Head-to-head evidence from 20 shared benchmark results across 7 categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verified leaderboard positions: Claude Opus 4.8 #3; GPT-4.1 mini unranked
Evidence parity. Claude Opus 4.8 and GPT-4.1 mini share 20 comparable benchmark results. 3 of 8 categories are comparable. 33 results are unique to Claude Opus 4.8; 3 to GPT-4.1 mini.
Updated July 12, 2026- Shared results
- 20
- Claude Opus 4.8 only
- 33
- GPT-4.1 mini only
- 3
- Comparable categories
- 3 / 8
Pick Claude Opus 4.8 if you want the stronger benchmark profile. GPT-4.1 mini only becomes the better choice if knowledge is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 20 shared benchmark results across 7 evidence categories; 3 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
Claude Opus 4.8 is clearly ahead on the provisional aggregate, 85 to 42. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
Claude Opus 4.8's sharpest advantage is in coding, where it averages 76.4 against 23.6. The single biggest benchmark swing on the page is SWE-bench Verified, 88.6% to 23.6%. GPT-4.1 mini does hit back in knowledge, so the answer changes if that is the part of the workload you care about most.
Claude Opus 4.8 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.40 input / $1.60 output per 1M tokens for GPT-4.1 mini. That is roughly 15.6x on output cost alone. Claude Opus 4.8 is the reasoning model in the pair, while GPT-4.1 mini is not. That usually helps on harder chain-of-thought-heavy tests, but it can also mean more latency and more token spend in real use.
Category breakdown
Exact category averages are shown below. Not measured means BenchLM does not have enough sourced public coverage for that model and category.
| Category | Claude Opus 4.8 | Δ | GPT-4.1 mini |
|---|---|---|---|
| Coding | Claude Opus 4.876.4 | Margin← 52.8 | GPT-4.1 mini23.6 |
| Math | Claude Opus 4.853.9 | Margin← 49.4 | GPT-4.1 mini4.5 |
| Knowledge | Claude Opus 4.862.7 | Margin→ 1.5 | GPT-4.1 mini64.2 |
| Agentic | Claude Opus 4.880.3 | MarginNo overlap | GPT-4.1 miniNot measured |
| Multimodal | Claude Opus 4.877.0 | MarginNo overlap | GPT-4.1 miniNot measured |
| Inst. Following | Claude Opus 4.8Not measured | MarginNo overlap | GPT-4.1 mini88.5 |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
SWE-bench Verified
CodingA 88.6%B 23.6%Winner: Claude Opus 4.8Δ 65SWE-bench Verified: Claude Opus 4.8 scored 88.6%; GPT-4.1 mini scored 23.6%. Claude Opus 4.8 wins this benchmark. - Source ↗
FrontierMath v2 (Tiers 1-3)
MathA 47.241%B 4.483%Winner: Claude Opus 4.8Δ 42.8FrontierMath v2 (Tiers 1-3): Claude Opus 4.8 scored 47.241%; GPT-4.1 mini scored 4.483%. Claude Opus 4.8 wins this benchmark. - Source ↗
GPQA
KnowledgeA 93.6%B 64.2%Winner: Claude Opus 4.8Δ 29.4GPQA: Claude Opus 4.8 scored 93.6%; GPT-4.1 mini scored 64.2%. Claude Opus 4.8 wins this benchmark.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Claude Opus 4.8 | GPT-4.1 mini | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | GPT-4.1 mini$0.4 input / $1.6 output | GPT-4.1 mini has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | GPT-4.1 mini80 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | GPT-4.1 mini0.76 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | GPT-4.1 mini1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic19 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-4.1 mini | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | — | Not comparable |
| BrowseCompSource | 84.3% | — | Not comparable |
| DeepSearchQASource | 93.1% | — | Not comparable |
| OSWorld-VerifiedSource | 83.4% | — | Not comparable |
| Finance Agent v2Source | 53.9% | — | Not comparable |
| GDPval-AASource | 1600 | 496 | Claude Opus 4.8 leads |
| MCP AtlasSource | 82.2% | — | Not comparable |
| ToolathlonSource | 59.9% | — | Not comparable |
| Gert LabsSource | 72.97% | — | Not comparable |
| AA Agentic IndexSource | 47.2% | 1.7% | Claude Opus 4.8 leads |
| Tau2-TelecomSource | 94.4% | 52.9% | Claude Opus 4.8 leads |
| GDPval-AASource | 55.0% | 0.0% | Claude Opus 4.8 leads |
| ResearchClawBenchSource | 21.1% | — | Not comparable |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1354 | — | Not comparable |
| AA AutomationBenchSource | 48.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.0% | — | Not comparable |
| AA Harvey LABSource | 7.5% | — | Not comparable |
| AA Tau3 BankingSource | 27.6% | — | Not comparable |
CodingClaude Opus 4.8 wins12 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-4.1 mini | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 88.6% | 23.6% | Claude Opus 4.8 leads |
| SWE-bench ProSource | 69.2% | — | Not comparable |
| SWE MultilingualSource | 84.4% | — | Not comparable |
| SWE MultimodalSource | 38.4% | — | Not comparable |
| Terminal-Bench 2.0Source | 74.6% | — | Not comparable |
| cursorBench31Source | 58.4% | — | Not comparable |
| cursorBench32Source | 62.3% | — | Not comparable |
| AA Coding IndexSource | 74.3% | 20.2% | Claude Opus 4.8 leads |
| Terminal-Bench HardSource | 58.3% | 7.6% | Claude Opus 4.8 leads |
| AA-SciCodeSource | 53.5% | 40.4% | Claude Opus 4.8 leads |
| FrontierCodeSource | 46.5% | — | Not comparable |
| AA Terminal-Bench 2.1Source | 84.6% | — | Not comparable |
Reasoning2 benchmarks
KnowledgeGPT-4.1 mini wins11 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-4.1 mini | Result |
|---|---|---|---|
| GPQASource | 93.6% | 64.2% | Claude Opus 4.8 leads |
| GPQA-DSource | 93.6% | — | Not comparable |
| HLESource | 57.9% | — | Not comparable |
| HLE w/o toolsSource | 49.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 55.7% | 14.8% | Claude Opus 4.8 leads |
| AA-GPQA DiamondSource | 92.0% | 66.4% | Claude Opus 4.8 leads |
| AA-HLESource | 45.7% | 4.6% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 27.4% | -50.1% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 46.6% | 17.5% | Claude Opus 4.8 leads |
| AA-Omniscience Hallucination RateSource | 35.9% | 82.0% | Claude Opus 4.8 leads |
| MMLUSource | — | 87.5% | Not comparable |
MathClaude Opus 4.8 wins3 benchmarks
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | GPT-4.1 mini | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
Multimodal6 benchmarks
Frequently Asked Questions (4)
Which is better, Claude Opus 4.8 or GPT-4.1 mini?
Claude Opus 4.8 is ahead on BenchLM's provisional leaderboard, 85 to 42. The biggest single separator in this matchup is SWE-bench Verified, where the scores are 88.6% and 23.6%.
Which is better for knowledge tasks, Claude Opus 4.8 or GPT-4.1 mini?
GPT-4.1 mini has the edge for knowledge tasks in this comparison, averaging 64.2 versus 62.7. Inside this category, AA-Omniscience Index is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Opus 4.8 or GPT-4.1 mini?
Claude Opus 4.8 has the edge for coding in this comparison, averaging 76.4 versus 23.6. Inside this category, SWE-bench Verified is the benchmark that creates the most daylight between them.
Which is better for math, Claude Opus 4.8 or GPT-4.1 mini?
Claude Opus 4.8 has the edge for math in this comparison, averaging 53.9 versus 4.5. Inside this category, FrontierMath v2 (Tiers 1-3) is the benchmark that creates the most daylight between them.
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