Model comparison
DeepSeek V3.1 vs Step 3.7 Flash
Head-to-head evidence from 13 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
BenchAlign evidence: DeepSeek V3.1 supported; Step 3.7 Flash estimated. Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V3.1 and Step 3.7 Flash share 13 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to DeepSeek V3.1; 17 to Step 3.7 Flash.
Updated July 16, 2026- Shared results
- 13
- DeepSeek V3.1 only
- 0
- Step 3.7 Flash only
- 17
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek V3.1 and Step 3.7 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 13 shared benchmark results across 6 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 $0.00 input / $0.00 output per 1M tokens for DeepSeek V3.1. Step 3.7 Flash has the larger context window at 256K, compared with 128K for DeepSeek V3.1.
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 | DeepSeek V3.1 | Δ | Step 3.7 Flash |
|---|---|---|---|
| Agentic | DeepSeek V3.1Not measured | MarginNo overlap | Step 3.7 Flash66.4 |
| Coding | DeepSeek V3.1Not 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 | DeepSeek V3.1 | Step 3.7 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V3.1$0 input / $0 output | Step 3.7 Flash$0.2 input / $1.15 output | DeepSeek V3.1 has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V3.1Not available | Step 3.7 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V3.1Not available | Step 3.7 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V3.1128K | Step 3.7 Flash256K | Step 3.7 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic12 benchmarks
| Benchmark | DeepSeek V3.1 | Step 3.7 Flash | Result |
|---|---|---|---|
| τ²-bench resultsSource | 34.8% | 98.5% | Step 3.7 Flash leads |
| Terminal-Bench 2.0Source | — | 59.5% | Not comparable |
| BrowseCompSource | — | 75.8% | Not comparable |
| DeepSearchQASource | — | 92.8% | Not comparable |
| GDPval-AASource | — | 25.9% | 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 |
| AA Agentic IndexSource | — | 21.5% | Not comparable |
| GDPval-AASource | — | 1017 | Not comparable |
| APEX-Agents-AASource | — | 14.8% | Not comparable |
Coding5 benchmarks
Reasoning2 benchmarks
Knowledge6 benchmarks
| Benchmark | DeepSeek V3.1 | Step 3.7 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 21.1% | 30.3% | Step 3.7 Flash leads |
| AA-GPQA DiamondSource | 73.5% | 80.9% | Step 3.7 Flash leads |
| AA-HLESource | 6.3% | 19.9% | Step 3.7 Flash leads |
| AA-Omniscience IndexSource | -41.1% | -37.5% | Step 3.7 Flash leads |
| AA-Omniscience AccuracySource | 23.1% | 25.4% | Step 3.7 Flash leads |
| AA-Omniscience Hallucination RateSource | 83.5% | 84.4% | DeepSeek V3.1 leads |
Multimodal4 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek V3.1 | Step 3.7 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 37.8% | 67.3% | Step 3.7 Flash leads |
Frequently Asked Questions (3)
Can I compare DeepSeek V3.1 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 DeepSeek V3.1 and Step 3.7 Flash today?
DeepSeek V3.1: $0.00 input / $0.00 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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