Model comparison
DeepSeek-R1 vs DeepSeek V4 Flash
Head-to-head evidence from 0 shared benchmark results across 0 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek-R1 #103 (Supported); DeepSeek V4 Flash #61 (Estimated). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek-R1 and DeepSeek V4 Flash share 0 comparable benchmark results. 0 of 8 categories are comparable. 11 results are unique to DeepSeek-R1; 22 to DeepSeek V4 Flash.
Updated July 23, 2026- Shared results
- 0
- DeepSeek-R1 only
- 11
- DeepSeek V4 Flash only
- 22
- Comparable categories
- 0 / 8
Benchmark data for DeepSeek-R1 and DeepSeek V4 Flash is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 0 shared benchmark results across 0 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.
DeepSeek-R1 is priced at $0.55 input / $2.19 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash. DeepSeek V4 Flash has the larger context window at 1M, compared with 128K for DeepSeek-R1.
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek-R1 | DeepSeek V4 Flash | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek-R1$0.55 input / $2.19 output | DeepSeek V4 Flash$0.14 input / $0.28 output | DeepSeek V4 Flash has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek-R1Not available | DeepSeek V4 FlashNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek-R1Not available | DeepSeek V4 FlashNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek-R1128K | DeepSeek V4 Flash1M | DeepSeek V4 Flash lists the larger context window. |
Benchmark Deep Dive
Agentic6 benchmarks
Coding5 benchmarks
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | DeepSeek-R1 | DeepSeek V4 Flash | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 20.1% | — | Not comparable |
| AA-GPQA DiamondSource | 81.3% | — | Not comparable |
| AA-HLESource | 14.9% | — | Not comparable |
| AA-Omniscience IndexSource | -27.1% | — | Not comparable |
| AA-Omniscience AccuracySource | 31.0% | — | Not comparable |
| AA-Omniscience Hallucination RateSource | 84.0% | — | Not comparable |
| MMLU-ProSource | — | 83% | Not comparable |
| SimpleQASource | — | 23.1% | Not comparable |
| Chinese-SimpleQASource | — | 71.5% | Not comparable |
| GPQASource | — | 71.2% | Not comparable |
| GPQA-DSource | — | 71.2% | Not comparable |
| HLESource | — | 8.1% | Not comparable |
Math4 benchmarks
Multimodal1 benchmarks
| Benchmark | DeepSeek-R1 | DeepSeek V4 Flash | Result |
|---|---|---|---|
| Design Arena WebsiteSource | — | 1238 | Not comparable |
Inst. Following1 benchmarks
| Benchmark | DeepSeek-R1 | DeepSeek V4 Flash | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.6% | — | Not comparable |
Frequently Asked Questions (3)
Can I compare DeepSeek-R1 and DeepSeek V4 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-R1 and DeepSeek V4 Flash today?
DeepSeek-R1: $0.55 input / $2.19 output per 1M tokens DeepSeek V4 Flash: $0.14 input / $0.28 output per 1M tokens Both model pages still include creator, context window, reasoning mode, and other metadata while benchmark coverage fills in.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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