Muse Spark 1.3
Unavailable in this round
Head-to-head comparison
Compare published benchmark results from matching versions and cohorts, API pricing, and technical specifications. Any documented test setup differences remain visible.
Specifications
Release date, availability, context window, architecture, and published parameter counts at a glance. Undisclosed details remain marked as unavailable.
| Attribute | Muse Spark 1.3 | DeepSeek-V4-Pro |
|---|---|---|
| Provider | Meta | DeepSeek |
| Released | Sep 2, 2026 | Apr 24, 2026 |
| Availability | Active | Active |
| Model type | Proprietary | Open Weights |
| Parameters | Not published | 1.6T, 49B active |
| Architecture | Not published | Mixture of Experts |
| Context window | 1,048,576 tokens | 1,000,000 tokens |
| Knowledge cutoff | Not published | Not published |
| Technical sources | Model, Context | Model, Context |
Pricing
The table compares official standard API rates per 1M tokens, including published cache pricing. Batch, fast, priority, regional surcharges, tool calls, and cloud platform pricing are excluded.
| Price type | Muse Spark 1.3 | DeepSeek-V4-Pro |
|---|---|---|
| API input | $1.25 | $0.66 (Off-Peak) |
| API output | $4.25 | $1.98 (Off-Peak) |
| Cache read | $0.15 | $0.022 (Off-Peak) |
| Cache write (5 min.) | Not listed | Not listed |
| Cache write (1 hr.) | Not listed | Not listed |
| Price verified | 10/18/2026 Source | 09/22/2026 Source |
| DeepSeek-V4-Pro: peak pricing is $1.32 input / $3.96 output per 1M tokens during Mon, Tue, Wed, Thu, Fri, 01:00-04:00 UTC; Mon, Tue, Wed, Thu, Fri, 06:00-10:00 UTC; off-peak rates apply at all other times. | ||
Key to the marks:better valuebetter, but not conclusivetie
Direct developer pricing and provider endpoint tariffs routed through OpenRouter are listed separately. Prices are in USD per 1M tokens. Context-dependent direct tiers plus regional, Flex, Priority, and other OpenRouter tariffs remain individually identifiable.
| Model | Provider | Purchase route and tariff | Input per 1M tokens | Output per 1M tokens | Source |
|---|---|---|---|---|---|
| Muse Spark 1.3 | Meta | Via OpenRoutermeta | Lowest listed price: $1.25 | Lowest listed price: $4.25 | Source10/18/2026 |
| DeepSeek-V4-Pro | DeepSeek | Direct from developerStandard API | $0.66 | $1.98 | Source09/22/2026 |
| Alibaba | Via OpenRouteralibaba/us-east-1 | $1.32 | $3.96 | Source10/18/2026 | |
| AtlasCloud | Via OpenRouteratlas-cloud/fp8 | $1.32 | $3.96 | Source10/18/2026 | |
| Baidu | Via OpenRouterbaidu/fp8 | $0.1333 | Lowest listed price: $0.4 | Source10/18/2026 | |
| Cloudflare | Via OpenRoutercloudflare | $1.32 | $3.96 | Source10/18/2026 | |
| CoreWeave | Via OpenRoutercoreweave/fp8 | $1.31 | $3.96 | Source10/18/2026 | |
| DeepInfra | Via OpenRouterdeepinfra/fp8 | $1.3 | $2.6 | Source10/18/2026 | |
| DeepSeek | Via OpenRouterdeepseek | $0.66 | $1.98 | Source10/18/2026 | |
| DigitalOcean | Via OpenRouterdigitalocean | $1.32 | $3.96 | Source10/18/2026 | |
| GMICloud | Via OpenRoutergmicloud/fp8 | $1.056 | $3.168 | Source10/18/2026 | |
| Ionstream | Via OpenRouterionstream | $0.37 | $2.93 | Source10/18/2026 | |
| Novita | Via OpenRouternovita/fp8 | $0.99 | $2.97 | Source10/18/2026 | |
| Parasail | Via OpenRouterparasail/fp8 | $1.32 | $3.96 | Source10/18/2026 | |
| Phala | Via OpenRouterphala | $0.957 | $2.8776 | Source10/18/2026 | |
| Relace | Via OpenRouterrelace/fp4 | Lowest listed price: $0.12 | $8 | Source10/18/2026 | |
| Sail Research | Via OpenRoutersail-research/fp4 | $0.448 | $1.164 | Source10/18/2026 | |
| Sail Research | Via OpenRoutersail-research/us | $0.448 | $1.164 | Source10/18/2026 | |
| SiliconFlow | Via OpenRoutersiliconflow/fp8 | $1.32 | $3.96 | Source10/18/2026 | |
| StreamLake | Via OpenRouterstreamlake | $0.66 | $1.98 | Source10/18/2026 | |
| Together | Via OpenRoutertogether | $1.32 | $3.96 | Source10/18/2026 | |
| Venice | Via OpenRoutervenice | $1.65 | $4.95 | Source10/18/2026 | |
| Wafer | Via OpenRouterwafer/mxfp4 | $0.25 | $2.5 | Source10/18/2026 |
Performance
Only published results with the same benchmark version, task, metric, and comparison cohort are paired. Different reasoning levels, agents, harnesses, or output limits appear directly in the table.
Each axis averages directly matched benchmark families. A value of 100 means the stronger value within this pair, not a universal quality score.
9 matched rows from 9 benchmark families were considered. The radar shows 5 of 5 comparable categories.
Key to the marks:better valuebetter, but not conclusivetie
| Benchmark and task | Muse Spark 1.3 | DeepSeek-V4-Pro | Source |
|---|---|---|---|
AA-BriefcaseOverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: AA-Briefcase EloScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner1,581.34 elo | 1,256.94 elo | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AA-LCROverallTest detailsNo documented difference in the test setupVersion: v1.1Metric: Pass rateScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner83.0% | 80.3% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AA-OmniscienceOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: AA-Omniscience IndexScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner25 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis. | 0.833 points The index can be negative and ranges from -100 to 100 according to Artificial Analysis. | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Artificial Analysis Intelligence IndexOverallTest detailsNo documented difference in the test setupVersion: v4.3.2Metric: Artificial Analysis Intelligence IndexScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner48.092 points | 35.997 points | Artificial AnalysisSource detailsData as of: 10/15/2026 |
AutomationBench-AAOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Objectives completed without guardrail violationsScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner57.9% | 56.7% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Code MigrationOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value27.58 % | 26.201 % | Vals AISource detailsData as of: 10/12/2026 |
EMBOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value62.712 % | 51.623 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value58.901 % | 44.083 % | Vals AISource detailsData as of: 10/12/2026 |
GDP.pdfOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: All-pass rateScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner26.6% | 11.4% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
GDPval-AAOverallTest detailsNo documented difference in the test setupVersion: v2.1Metric: GDPval-AA EloScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner1,680.99 elo | 1,450.47 elo | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Harvey's Legal Agent BenchmarkOverall · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value22.917 % | 3.75 % | Vals AISource detailsData as of: 10/12/2026 |
Humanity's Last ExamOverallTest detailsNo documented difference in the test setupVersion: unspecifiedMetric: Text-only pass@1 accuracyScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner48.7% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset. | 41.0% Artificial Analysis describes this comparable run as 2,158 text-only questions, not the full 2,500-question dataset. | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Legal Research BenchOverall · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value40.865 % | 23.077 % | Vals AISource detailsData as of: 10/12/2026 |
LMArena Text, Style ControlOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Spark 1.3: Snapshot: muse-spark-1.3-max, Reasoning: max, Harness: Arena Text, style control DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro, Harness: Arena Text, style controlMuse Spark 1.3: Arena rating from 16,731 published pairwise votes.DeepSeek-V4-Pro: Arena rating from 57,614 published pairwise votes. | Higher measured value1,494.213 95% confidence interval: ±5.665The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,457.848 95% confidence interval: ±3.899The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
ProgramBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value0.5 % | 0 % | Vals AISource detailsData as of: 10/12/2026 |
ProofBenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 128,000 tokens | Higher measured value55 % | 16 % | Vals AISource detailsData as of: 10/12/2026 |
Tax Agent BenchOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value35.974 % | 25.17 % | Vals AISource detailsData as of: 10/12/2026 |
Terminal-BenchOverallTest detailsNo documented difference in the test setupVersion: 4.0Metric: Task successScoring: Higher is betterMuse Spark 1.3: Snapshot: Muse Spark 1.3 (Max), Reasoning: Max DeepSeek-V4-Pro: Snapshot: DeepSeek V4 Pro 0813 (Max), Reasoning: MaxMuse Spark 1.3: Exact AA configuration: Muse Spark 1.3 (Max) (release muse-spark-1-3, row muse-spark-1-3, UUID 9999672c-b687-4026-9c15-5cef02ff53bb, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption.DeepSeek-V4-Pro: Exact AA configuration: DeepSeek V4 Pro 0813 (Max) (release deepseek-v4-pro, row deepseek-v4-pro, UUID 83173329-c09a-41f1-a028-a282a5f908d7, reasoning=true, source reasoning-token configuration budget=2000, suffix=Max). This configured value is not measured token consumption. | Winner33.3% | 14.1% | Artificial AnalysisSource detailsData as of: 10/15/2026 |
Terminal-Bench 2.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Output limit: 128,000 tokens | Higher measured value72.285 % | 50.187 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | 10.606 % | Higher measured value11.111 % | Vals AISource detailsData as of: 10/13/2026 |
Vals IndexOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: weighted index scoreScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value53.197 % | 38.63 % | Vals AISource detailsData as of: 10/13/2026 |
Vibe Code Bench v1.1OverallTest detailsTest setup not documented as identicalNo direct winnerVersion: 1.1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Harness: OpenHands, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Harness: OpenHands, Output limit: 256,000 tokens | Higher measured value82.859 % | 49.931 % | Vals AISource detailsData as of: 10/12/2026 |
Code MigrationCLITest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | 13.916 % | Higher measured value15.47 % | Vals AISource detailsData as of: 10/12/2026 |
EMBCompsTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value64.798 % | 57.434 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)AdjustmentsTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value52.818 % | 41.586 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value96.377 % | 83.696 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value51.515 % | 28.788 % | Vals AISource detailsData as of: 10/12/2026 |
LMArena Text, Style ControlOverallTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Spark 1.3: Snapshot: muse-spark-1.3-max, Reasoning: max, Harness: Arena Text, style control DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro-high-preview, Reasoning: high, Harness: Arena Text, style controlMuse Spark 1.3: Arena rating from 16,731 published pairwise votes.DeepSeek-V4-Pro: Arena rating from 54,929 published pairwise votes. | Higher measured value1,494.213 95% confidence interval: ±5.665The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,454.814 95% confidence interval: ±3.964The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
ProgramBenchAlmost ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: almost-resolved rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value13 % | 0 % | Vals AISource detailsData as of: 10/12/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value14.667 % | 12.333 % | Vals AISource detailsData as of: 10/12/2026 |
Terminal-Bench 2.1EasyTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Output limit: 128,000 tokens | Higher measured value75 % | 66.667 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0HardwareTest detailsTest setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | No direct winner0 % | No direct winner0 % | Vals AISource detailsData as of: 10/13/2026 |
Vals IndexCode MigrationTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value42.192 % | 26.212 % | Vals AISource detailsData as of: 10/13/2026 |
Code MigrationCOBOLTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value68.571 % | 58.393 % | Vals AISource detailsData as of: 10/12/2026 |
EMBDataroomTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value84.191 % | 62.572 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)All-PassTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value48.737 % | 31.448 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkAntitrust Competition · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value20 % | 0 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchAdministrative / Regulatory · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value85.884 % | 83.372 % | Vals AISource detailsData as of: 10/12/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Spark 1.3: Snapshot: muse-spark-1.3-max, Reasoning: max, Harness: Arena Text, style control DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro, Harness: Arena Text, style controlMuse Spark 1.3: Arena rating from 3,041 published pairwise votes.DeepSeek-V4-Pro: Arena rating from 11,383 published pairwise votes. | Higher measured value1,503.61 95% confidence interval: ±11.102The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,459.786 95% confidence interval: ±6.716The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
ProgramBenchFully ResolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: fully resolved rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value0.5 % | 0 % | Vals AISource detailsData as of: 10/12/2026 |
Tax Agent BenchControversy & Precedence AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value60.859 % | 54.843 % | Vals AISource detailsData as of: 10/12/2026 |
Terminal-Bench 2.1HardTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Output limit: 128,000 tokens | Higher measured value61.111 % | 31.111 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0MediaTest detailsTest setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | No direct winner0 % | No direct winner0 % | Vals AISource detailsData as of: 10/13/2026 |
Vals IndexEMBTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value62.712 % | 51.623 % | Vals AISource detailsData as of: 10/13/2026 |
Code MigrationCode QualityTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: mean reviewer code-quality ratingScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value4.02 / 5 | 3.401 / 5 | Vals AISource detailsData as of: 10/12/2026 |
EMBDCFTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value55.697 % | 44.435 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)ComparablesTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value47.167 % | 39.632 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Criteria passedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: criteria pass rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value93.907 % | 83.513 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchBusiness & Commercial · All-passTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: all-pass rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value32.558 % | 23.256 % | Vals AISource detailsData as of: 10/12/2026 |
LMArena Text, Style ControlBusiness, management and financeTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Spark 1.3: Snapshot: muse-spark-1.3-max, Reasoning: max, Harness: Arena Text, style control DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro-high-preview, Reasoning: high, Harness: Arena Text, style controlMuse Spark 1.3: Arena rating from 3,041 published pairwise votes.DeepSeek-V4-Pro: Arena rating from 11,045 published pairwise votes. | Higher measured value1,503.61 95% confidence interval: ±11.102The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,448.007 95% confidence interval: ±6.811The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
ProgramBenchRaw Pass RateTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: raw test pass rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value71.722 % | 47.778 % | Vals AISource detailsData as of: 10/12/2026 |
Tax Agent BenchCurrent & Temporal AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value49.769 % | 36.595 % | Vals AISource detailsData as of: 10/12/2026 |
Terminal-Bench 2.1MediumTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Output limit: 128,000 tokens | Higher measured value78.182 % | 59.394 % | Vals AISource detailsData as of: 09/28/2026 |
Terminal-Bench 4.0MLTest detailsTest setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value21.212 % | 3.03 % | Vals AISource detailsData as of: 10/13/2026 |
Vals IndexFinance Agent v2Test detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value58.901 % | 44.083 % | Vals AISource detailsData as of: 10/13/2026 |
EMBLBOTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value56.579 % | 43.938 % | Vals AISource detailsData as of: 10/12/2026 |
Finance Agent (v2)Disclosure AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 2Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value66.693 % | 52.649 % | Vals AISource detailsData as of: 10/12/2026 |
Harvey's Legal Agent BenchmarkArbitration International Dispute Resolution · Task fully resolvedTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: task resolution rateScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | No direct winner0 % | No direct winner0 % | Vals AISource detailsData as of: 10/12/2026 |
Legal Research BenchBusiness & Commercial · Weighted partial creditTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: weighted partial-credit scoreScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value88.24 % | 86.491 % | Vals AISource detailsData as of: 10/12/2026 |
LMArena Text, Style ControlChineseTest detailsTest setup not documented as identicalNo direct winnerVersion: style-control-v1Metric: style-controlled Bradley-Terry ratingScoring: Higher is betterMuse Spark 1.3: Snapshot: muse-spark-1.3-max, Reasoning: max, Harness: Arena Text, style control DeepSeek-V4-Pro: Snapshot: deepseek-v4-pro, Harness: Arena Text, style controlMuse Spark 1.3: Arena rating from 1,298 published pairwise votes.DeepSeek-V4-Pro: Arena rating from 3,378 published pairwise votes. | Higher measured value1,529.417 95% confidence interval: ±16.859The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | 1,488.803 95% confidence interval: ±10.784The Arena score measures human preference rather than a fixed capability test. The confidence interval, Arena category, and model configuration are part of the result. | LMArenaSource detailsData as of: 10/13/2026 |
Tax Agent BenchCurrent & Temporal AnalysisTest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value73.142 % | 65.741 % | Vals AISource detailsData as of: 10/12/2026 |
Terminal-Bench 4.0OperationsTest detailsTest setup not documented as identicalNo direct winnerVersion: 4.0Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | No direct winner7.407 % | No direct winner7.407 % | Vals AISource detailsData as of: 10/13/2026 |
Vals IndexHLABTest detailsTest setup not documented as identicalNo direct winnerVersion: 2.1Metric: benchmark scoreScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value22.917 % | 3.75 % | Vals AISource detailsData as of: 10/13/2026 |
EMBM&ATest detailsTest setup not documented as identicalNo direct winnerVersion: 1Metric: accuracyScoring: Higher is betterMuse Spark 1.3: Reasoning: xhigh, Temperature: 1, Output limit: 131,072 tokens DeepSeek-V4-Pro: Reasoning: max, Output limit: 384,000 tokens | Higher measured value64.366 % | 48.156 % | Vals AISource detailsData as of: 10/12/2026 |
Key to the marks:better valuebetter, but not conclusivetie | |||
Our model tests
One SVG prompt and fixed output settings. Captures are shown only with 0 reported reasoning tokens or documented lack of reasoning controls. Identical test conditions do not make the models' internal compute identical.
Shared test round: 4ae5d8eeb9a9
Unavailable in this round

A community classic for free-form SVG drawing.
Muse Spark 1.3

Reasoning (requested): high
Visually reviewed. This individual test does not establish overall model quality.
DeepSeek-V4-Pro
The response reached the token limit. No complete recording is available.
Reasoning (requested): high
Not yet visually reviewed. A successful recording does not confirm correct physics or full compliance with the prompt.
Generate an SVG of a pelican riding a bicycle
Token limit including reasoning: 8,192 tokens
Task origin (Simon Willison)How to read this comparison
Your workload, budget, and required context length matter most. A coding benchmark says little about visual understanding or agent performance.
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More matchups
Compare Muse Spark 1.3 and DeepSeek-V4-Pro with other leading models using the same data and benchmark logic.