Model comparison
GPT-4o mini vs Step 3.7 Flash
Head-to-head evidence from 10 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: GPT-4o mini supported; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. GPT-4o mini and Step 3.7 Flash share 10 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to GPT-4o mini; 20 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 10
- GPT-4o mini only
- 0
- Step 3.7 Flash only
- 20
- Comparable categories
- 0 / 8
Benchmark data for GPT-4o mini and Step 3.7 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 10 shared benchmark results across 5 evidence categories; 0 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
BenchLM has partial data for these models, but not enough overlapping benchmark coverage to produce a fair score-level comparison yet.
Step 3.7 Flash is priced at $0.20 input / $1.15 output per 1M tokens, versus $0.15 input / $0.60 output per 1M tokens for GPT-4o mini. Step 3.7 Flash has the larger context window at 256K, compared with 128K for GPT-4o mini.
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 | GPT-4o mini | Δ | Step 3.7 Flash |
|---|---|---|---|
| Agentic | GPT-4o miniNot measured | MarginNo overlap | Step 3.7 Flash66.4 |
| Coding | GPT-4o miniNot measured | MarginNo overlap | Step 3.7 Flash56.3 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | GPT-4o mini | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | GPT-4o mini$0.15 input / $0.6 output | Step 3.7 Flash$0.2 input / $1.15 output | GPT-4o mini has the lower combined listed price. |
| Generation speedtokens per second | GPT-4o mini33 tok/s | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | GPT-4o mini3.16 s | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | GPT-4o mini128K | Step 3.7 Flash256K | Step 3.7 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | GPT-4o mini | Step 3.7 Flash | Result |
|---|---|---|---|
| AA Agentic IndexSource | 1.0% | 21.5% | Step 3.7 Flash leads |
| GDPval-AASource | 0.0% | 25.9% | Step 3.7 Flash leads |
| GDPval-AASource | 226 | 1017 | Step 3.7 Flash leads |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| BrowseCompSource | — | 75.8% | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| ToolathlonSource | — | 49.5% | Not comparable |
| Claw-EvalSource | — | 67.1% | Not comparable |
| HLE w/ toolsSource | — | 47.2% | Not comparable |
| Gert LabsSource | — | 51.57% | Not comparable |
| τ²-bench resultsSource | — | 98.5% | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | GPT-4o mini | Step 3.7 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 6.9% | 30.3% | Step 3.7 Flash leads |
| AA-GPQA DiamondSource | 42.6% | 80.9% | Step 3.7 Flash leads |
| AA-HLESource | 4.0% | 19.9% | Step 3.7 Flash leads |
| AA-Omniscience IndexSource | — | -37.5% | Not comparable |
| AA-Omniscience AccuracySource | — | 25.4% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 84.4% | Not comparable |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | GPT-4o mini | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 31.0% | 67.3% | Step 3.7 Flash leads |
Frequently Asked Questions (3)
Can I compare GPT-4o mini and Step 3.7 Flash on BenchLM yet?
Not fully yet. BenchLM is tracking both models, but the sourced benchmark breakdown for this comparison is still coming soon.
Why does this comparison show “coming soon”?
BenchLM only shows category winners and benchmark-level calls when we have sourced results that can be compared fairly. For these models, the public benchmark coverage is not complete enough yet.
What data is available for GPT-4o mini and Step 3.7 Flash today?
GPT-4o mini: $0.15 input / $0.60 output per 1M tokens Step 3.7 Flash: $0.20 input / $1.15 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
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