Model comparison
DeepSeek V4 Flash vs Llama 4 Maverick
Head-to-head evidence from 1 shared benchmark result across 1 category. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: DeepSeek V4 Flash #61 (Estimated); Llama 4 Maverick #191 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. DeepSeek V4 Flash and Llama 4 Maverick share 1 comparable benchmark result. 1 of 8 categories are comparable. 21 results are unique to DeepSeek V4 Flash; 17 to Llama 4 Maverick.
Updated July 23, 2026- Shared results
- 1
- DeepSeek V4 Flash only
- 21
- Llama 4 Maverick only
- 17
- Comparable categories
- 1 / 8
Pick DeepSeek V4 Flash if you want the stronger benchmark profile. Llama 4 Maverick only becomes the better choice if you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 1 shared benchmark result across 1 evidence category; 1 of 8 categories currently have scoreable aggregates for both models. Treat the verdict as directional until coverage is more balanced.
Why this result
DeepSeek V4 Flash is clearly ahead on the BenchAlign aggregate, 58.88 to 23.49. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
DeepSeek V4 Flash's sharpest advantage is in mathematics, where it averages 40.8 against 0.7.
DeepSeek V4 Flash is also the more expensive model on tokens at $0.14 input / $0.28 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Llama 4 Maverick. That is roughly Infinityx on output cost alone.
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 V4 Flash | Δ | Llama 4 Maverick |
|---|---|---|---|
| Math | DeepSeek V4 Flash40.8 | Margin← 40.1 | Llama 4 Maverick0.7 |
| Agentic | DeepSeek V4 Flash49.1 | MarginNo overlap | Llama 4 MaverickNot measured |
| Coding | DeepSeek V4 Flash64.2 | MarginNo overlap | Llama 4 MaverickNot measured |
| Knowledge | DeepSeek V4 Flash38.8 | MarginNo overlap | Llama 4 MaverickNot measured |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | DeepSeek V4 Flash | Llama 4 Maverick | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | DeepSeek V4 Flash$0.14 input / $0.28 output | Llama 4 Maverick$0 input / $0 output | Llama 4 Maverick has the lower combined listed price. |
| Generation speedtokens per second | DeepSeek V4 FlashNot available | Llama 4 Maverick121 tok/s | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | DeepSeek V4 FlashNot available | Llama 4 Maverick0.95 s | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | DeepSeek V4 Flash1M | Llama 4 Maverick1M | Listed context windows are equal. |
Benchmark Deep Dive
Agentic9 benchmarks
| Benchmark | DeepSeek V4 Flash | Llama 4 Maverick | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 49.1% | — | Not comparable |
| MCP AtlasSource | 64% | — | Not comparable |
| ToolathlonSource | 40.7% | — | Not comparable |
| Claw-EvalSource | 57.8% | — | Not comparable |
| Gert LabsSource | 54.35% | — | Not comparable |
| AA Agentic IndexSource | — | 1.3% | Not comparable |
| τ²-bench resultsSource | — | 17.8% | Not comparable |
| GDPval-AASource | — | 0.0% | Not comparable |
| GDPval-AASource | — | -16 | Not comparable |
Coding6 benchmarks
| Benchmark | DeepSeek V4 Flash | Llama 4 Maverick | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 73.7% | — | Not comparable |
| SWE-bench ProSource | 49.1% | — | Not comparable |
| SWE MultilingualSource | 69.7% | — | Not comparable |
| Terminal-Bench 2.0Source | 49.1% | — | Not comparable |
| AA Coding IndexSource | — | 16.3% | Not comparable |
| AA-SciCodeSource | — | 33.1% | Not comparable |
Reasoning4 benchmarks
Knowledge12 benchmarks
| Benchmark | DeepSeek V4 Flash | Llama 4 Maverick | Result |
|---|---|---|---|
| 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 |
| Artificial Analysis Intelligence IndexSource | — | 14.3% | Not comparable |
| AA-GPQA DiamondSource | — | 67.1% | Not comparable |
| AA-HLESource | — | 4.8% | Not comparable |
| AA-Omniscience IndexSource | — | -41.8% | Not comparable |
| AA-Omniscience AccuracySource | — | 24.3% | Not comparable |
| AA-Omniscience Hallucination RateSource | — | 87.3% | Not comparable |
MathDeepSeek V4 Flash wins5 benchmarks
Multimodal2 benchmarks
Inst. Following1 benchmarks
| Benchmark | DeepSeek V4 Flash | Llama 4 Maverick | Result |
|---|---|---|---|
| AA-IFBenchSource | — | 43.0% | Not comparable |
Frequently Asked Questions (2)
Which is better, DeepSeek V4 Flash or Llama 4 Maverick?
DeepSeek V4 Flash is ahead on BenchLM's BenchAlign leaderboard, 58.88 to 23.49.
Which is better for math, DeepSeek V4 Flash or Llama 4 Maverick?
DeepSeek V4 Flash has the edge for math in this comparison, averaging 40.8 versus 0.7. Llama 4 Maverick stays close enough that the answer can still flip depending on your workload.
Self-host vs API cost
Estimates at 50,000 req/day · 1000 tokens/req average.
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