Model comparison
Claude Opus 4.8 vs DeepSeek V4 Flash (Max)
Head-to-head evidence from 32 shared benchmark results across 6 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Claude Opus 4.8 #5 (Supported); DeepSeek V4 Flash (Max) unranked (Not scored). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Claude Opus 4.8 and DeepSeek V4 Flash (Max) share 32 comparable benchmark results. 4 of 8 categories are comparable. 21 results are unique to Claude Opus 4.8; 13 to DeepSeek V4 Flash (Max).
Updated July 23, 2026- Shared results
- 32
- Claude Opus 4.8 only
- 21
- DeepSeek V4 Flash (Max) only
- 13
- Comparable categories
- 4 / 8
Treat this as a split decision. Claude Opus 4.8 makes more sense if agentic is the priority; DeepSeek V4 Flash (Max) is the better fit if mathematics is the priority or you want the cheaper token bill.
Confidence note. This is a partial-evidence comparison with 32 shared benchmark results across 6 evidence categories; 4 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 and DeepSeek V4 Flash (Max) finish on the same BenchAlign overall score, so this is less about a single winner and more about where the edge shows up. The BenchAlign headline says tie; the benchmark table is where the real choice happens.
Claude Opus 4.8 is also the more expensive model on tokens at $5.00 input / $25.00 output per 1M tokens, versus $0.14 input / $0.28 output per 1M tokens for DeepSeek V4 Flash (Max). That is roughly 89.3x 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 | Claude Opus 4.8 | Δ | DeepSeek V4 Flash (Max) |
|---|---|---|---|
| Math | Claude Opus 4.853.9 | Margin→ 40.9 | DeepSeek V4 Flash (Max)94.8 |
| Agentic | Claude Opus 4.880.3 | Margin← 16.5 | DeepSeek V4 Flash (Max)63.8 |
| Coding | Claude Opus 4.881.1 | Margin← 12.3 | DeepSeek V4 Flash (Max)68.8 |
| Knowledge | Claude Opus 4.862.7 | Margin← 7.4 | DeepSeek V4 Flash (Max)55.3 |
| Multimodal | Claude Opus 4.877.0 | MarginNo overlap | DeepSeek V4 Flash (Max)Not measured |
Decisive benchmark drivers
The largest measured benchmark gaps in this matchup, with exact reported values.
More
- Source ↗
HLE
KnowledgeA 57.9%B 34.8%Winner: Claude Opus 4.8Δ 23.1HLE: Claude Opus 4.8 scored 57.9%; DeepSeek V4 Flash (Max) scored 34.8%. Claude Opus 4.8 wins this benchmark. - Source ↗
Terminal-Bench 2.0
AgenticA 74.6%B 56.9%Winner: Claude Opus 4.8Δ 17.7Terminal-Bench 2.0: Claude Opus 4.8 scored 74.6%; DeepSeek V4 Flash (Max) scored 56.9%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Pro
CodingA 69.2%B 52.6%Winner: Claude Opus 4.8Δ 16.6SWE-bench Pro: Claude Opus 4.8 scored 69.2%; DeepSeek V4 Flash (Max) scored 52.6%. Claude Opus 4.8 wins this benchmark. - Source ↗
BrowseComp
AgenticA 84.3%B 73.2%Winner: Claude Opus 4.8Δ 11.1BrowseComp: Claude Opus 4.8 scored 84.3%; DeepSeek V4 Flash (Max) scored 73.2%. Claude Opus 4.8 wins this benchmark. - Source ↗
SWE-bench Verified
CodingA 88.6%B 79%Winner: Claude Opus 4.8Δ 9.6SWE-bench Verified: Claude Opus 4.8 scored 88.6%; DeepSeek V4 Flash (Max) scored 79%. 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 | DeepSeek V4 Flash (Max) | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Claude Opus 4.8$5 input / $25 output | DeepSeek V4 Flash (Max)$0.14 input / $0.28 output | DeepSeek V4 Flash (Max) has the lower combined listed price. |
| Generation speedtokens per second | Claude Opus 4.8Not available | DeepSeek V4 Flash (Max)Not available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Claude Opus 4.8Not available | DeepSeek V4 Flash (Max)Not available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Claude Opus 4.81M | DeepSeek V4 Flash (Max)1M | Listed context windows are equal. |
Benchmark Deep Dive
AgenticClaude Opus 4.8 wins23 benchmarks
| Benchmark | Claude Opus 4.8 | DeepSeek V4 Flash (Max) | Result |
|---|---|---|---|
| Terminal-Bench 2.0Source | 74.6% | 56.9% | Claude Opus 4.8 leads |
| BrowseCompSource | 84.3% | 73.2% | Claude Opus 4.8 leads |
| DeepSearchQASource | 93.1% | — | Not comparable |
| OSWorld-VerifiedSource | 83.4% | — | Not comparable |
| Finance Agent v2Source | 53.9% | — | Not comparable |
| GDPval-AASource | 1594 | 1189 | Claude Opus 4.8 leads |
| MCP AtlasSource | 82.2% | 69% | Claude Opus 4.8 leads |
| ToolathlonSource | 59.9% | 47.8% | Claude Opus 4.8 leads |
| Gert LabsSource | 72.97% | — | Not comparable |
| AA Agentic IndexSource | 47.2% | 31.1% | Claude Opus 4.8 leads |
| τ²-bench resultsSource | 94.4% | 95% | DeepSeek V4 Flash (Max) leads |
| GDPval-AASource | 54.7% | 34.4% | Claude Opus 4.8 leads |
| ResearchClawBenchSource | 21.1% | — | Not comparable |
| OSWorld 2.0Source | 20.6% | — | Not comparable |
| AA BriefcaseSource | 1347 | 831 | Claude Opus 4.8 leads |
| AA AutomationBenchSource | 48.5% | — | Not comparable |
| AA EnterpriseOps-GymSource | 44.0% | 39.6% | Claude Opus 4.8 leads |
| AA Harvey LABSource | 91.1% | 81.3% | Claude Opus 4.8 leads |
| AA Tau3 BankingSource | 27.6% | 22.9% | Claude Opus 4.8 leads |
| terminalBenchHardSource | 58.3% | 35.6% | Claude Opus 4.8 leads |
| aaTerminalBench21Source | 84.6% | — | Not comparable |
| HLE w/ toolsSource | — | 45.1% | Not comparable |
| AA ITBenchSource | — | 31.5% | Not comparable |
CodingClaude Opus 4.8 wins11 benchmarks
| Benchmark | Claude Opus 4.8 | DeepSeek V4 Flash (Max) | Result |
|---|---|---|---|
| SWE-bench VerifiedSource | 88.6% | 79% | Claude Opus 4.8 leads |
| SWE-bench ProSource | 69.2% | 52.6% | Claude Opus 4.8 leads |
| SWE MultilingualSource | 84.4% | 73.3% | Claude Opus 4.8 leads |
| SWE MultimodalSource | 38.4% | — | Not comparable |
| Terminal-Bench 2.0Source | 74.6% | 56.9% | Claude Opus 4.8 leads |
| cursorBench31Source | 58.4% | — | Not comparable |
| cursorBench32Source | 62.3% | — | Not comparable |
| AA Coding IndexSource | 74.3% | 56.2% | Claude Opus 4.8 leads |
| AA-SciCodeSource | 53.5% | 44.9% | Claude Opus 4.8 leads |
| FrontierCode 1.1 MainSource | 46.5% | — | Not comparable |
| CodeforcesSource | — | 3052.0 | Not comparable |
Reasoning4 benchmarks
KnowledgeClaude Opus 4.8 wins14 benchmarks
| Benchmark | Claude Opus 4.8 | DeepSeek V4 Flash (Max) | Result |
|---|---|---|---|
| GPQASource | 93.6% | 88.1% | Claude Opus 4.8 leads |
| GPQA-DSource | 93.6% | 88.1% | Claude Opus 4.8 leads |
| HLESource | 57.9% | 34.8% | Claude Opus 4.8 leads |
| HLE w/o toolsSource | 49.8% | — | Not comparable |
| Artificial Analysis Intelligence IndexSource | 55.7% | 40.3% | Claude Opus 4.8 leads |
| AA-GPQA DiamondSource | 92.0% | 89.4% | Claude Opus 4.8 leads |
| AA-HLESource | 45.7% | 32.1% | Claude Opus 4.8 leads |
| AA-Omniscience IndexSource | 27.4% | -22.9% | Claude Opus 4.8 leads |
| AA-Omniscience AccuracySource | 46.6% | 37.2% | Claude Opus 4.8 leads |
| AA-Omniscience Hallucination RateSource | 35.9% | 95.8% | Claude Opus 4.8 leads |
| MMLU-ProSource | — | 86.2% | Not comparable |
| SimpleQASource | — | 34.1% | Not comparable |
| Chinese-SimpleQASource | — | 78.9% | Not comparable |
| AA Openness IndexSource | — | 50.0% | Not comparable |
MathDeepSeek V4 Flash (Max) wins7 benchmarks
| Benchmark | Claude Opus 4.8 | DeepSeek V4 Flash (Max) | Result |
|---|---|---|---|
| USAMO 2026Source | 96.7% | — | Not comparable |
| FrontierMath v2 (Tiers 1-3)Source | 47.241% | — | Not comparable |
| FrontierMath v2 (Tier 4)Source | 31.250% | — | Not comparable |
| HMMT Feb 2026Source | — | 94.8% | Not comparable |
| IMOAnswerBenchSource | — | 88.4% | Not comparable |
| ApexSource | — | 33.0% | Not comparable |
| Apex ShortlistSource | — | 85.7% | Not comparable |
Multilingual1 benchmarks
| Benchmark | Claude Opus 4.8 | DeepSeek V4 Flash (Max) | Result |
|---|---|---|---|
| INCLUDESource | 87.6% | — | Not comparable |
Multimodal5 benchmarks
Inst. Following1 benchmarks
| Benchmark | Claude Opus 4.8 | DeepSeek V4 Flash (Max) | Result |
|---|---|---|---|
| AA-IFBenchSource | 62.2% | 79.2% | DeepSeek V4 Flash (Max) leads |
Frequently Asked Questions (5)
Which is better, Claude Opus 4.8 or DeepSeek V4 Flash (Max)?
Claude Opus 4.8 and DeepSeek V4 Flash (Max) are tied on the BenchAlign overall score, so the right pick depends on which category matters most for your use case.
Which is better for knowledge tasks, Claude Opus 4.8 or DeepSeek V4 Flash (Max)?
Claude Opus 4.8 has the edge for knowledge tasks in this comparison, averaging 62.7 versus 55.3. Inside this category, AA-Omniscience Hallucination Rate is the benchmark that creates the most daylight between them.
Which is better for coding, Claude Opus 4.8 or DeepSeek V4 Flash (Max)?
Claude Opus 4.8 has the edge for coding in this comparison, averaging 81.1 versus 68.8. Inside this category, AA Coding Index is the benchmark that creates the most daylight between them.
Which is better for math, Claude Opus 4.8 or DeepSeek V4 Flash (Max)?
DeepSeek V4 Flash (Max) has the edge for math in this comparison, averaging 94.8 versus 53.9. Claude Opus 4.8 stays close enough that the answer can still flip depending on your workload.
Which is better for agentic tasks, Claude Opus 4.8 or DeepSeek V4 Flash (Max)?
Claude Opus 4.8 has the edge for agentic tasks in this comparison, averaging 80.3 versus 63.8. Inside this category, AA Briefcase is the benchmark that creates the most daylight between them.
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