Model comparison
Llama 3.1 405B vs Muse Spark
Head-to-head evidence from 11 shared benchmark results across 5 categories. Overall scores shown here use the public BenchAlign v5 ranking lane.
Public leaderboard positions: Llama 3.1 405B #102 (Estimated); Muse Spark #13 (Supported). Intervals and evidence labels describe ranking uncertainty, not a guarantee for a specific workload.
Evidence parity. Llama 3.1 405B and Muse Spark share 11 comparable benchmark results. 0 of 8 categories are comparable. 0 results are unique to Llama 3.1 405B; 28 to Muse Spark.
Updated July 23, 2026- Shared results
- 11
- Llama 3.1 405B only
- 0
- Muse Spark only
- 28
- Comparable categories
- 0 / 8
Benchmark data for Llama 3.1 405B and Muse Spark is coming soon on BenchLM.
Confidence note. This is a partial-evidence comparison with 11 shared benchmark results across 5 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.
Muse Spark has the larger context window at 262K, compared with 128K for Llama 3.1 405B.
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 | Llama 3.1 405B | Δ | Muse Spark |
|---|---|---|---|
| Agentic | Llama 3.1 405BNot measured | MarginNo overlap | Muse Spark59.0 |
| Coding | Llama 3.1 405BNot measured | MarginNo overlap | Muse Spark67.8 |
| Reasoning | Llama 3.1 405BNot measured | MarginNo overlap | Muse Spark42.5 |
| Knowledge | Llama 3.1 405BNot measured | MarginNo overlap | Muse Spark50.4 |
| Math | Llama 3.1 405BNot measured | MarginNo overlap | Muse Spark32.9 |
| Multimodal | Llama 3.1 405BNot measured | MarginNo overlap | Muse Spark82.5 |
Operational comparison
Runtime and commercial metrics are compared only when both models have a complete sourced value.
| Metric | Llama 3.1 405B | Muse Spark | Comparison |
|---|---|---|---|
| Input / output priceUSD per 1M tokens | Llama 3.1 405B$0 input / $0 output | Muse SparkNot available | A complete price comparison is not available. |
| Generation speedtokens per second | Llama 3.1 405B29 tok/s | Muse SparkNot available | A complete speed comparison is not available. |
| First-answer latencyseconds to first token | Llama 3.1 405B2.19 s | Muse SparkNot available | A complete latency comparison is not available. |
| Context windowmaximum listed tokens | Llama 3.1 405B128K | Muse Spark262K | Muse Spark lists the larger context window. |
Benchmark Deep Dive
Agentic8 benchmarks
| Benchmark | Llama 3.1 405B | Muse Spark | Result |
|---|---|---|---|
| τ²-bench resultsSource | 19% | 91.5% | Muse Spark leads |
| Terminal-Bench 2.0Source | — | 59% | Not comparable |
| DeepSearchQASource | — | 74.8% | Not comparable |
| CyberGymSource | — | 43.5% | Not comparable |
| Claw-EvalSource | — | 63.8% | Not comparable |
| AA Agentic IndexSource | — | 28.7% | Not comparable |
| GDPval-AASource | — | 32.2% | Not comparable |
| GDPval-AASource | — | 1144 | Not comparable |
Coding6 benchmarks
Reasoning3 benchmarks
Knowledge11 benchmarks
| Benchmark | Llama 3.1 405B | Muse Spark | Result |
|---|---|---|---|
| Artificial Analysis Intelligence IndexSource | 8.5% | 43.1% | Muse Spark leads |
| AA-GPQA DiamondSource | 51.5% | 88.4% | Muse Spark leads |
| AA-HLESource | 4.2% | 39.9% | Muse Spark leads |
| AA-Omniscience IndexSource | -17.3% | 4.1% | Muse Spark leads |
| AA-Omniscience AccuracySource | 22.3% | 44.6% | Muse Spark leads |
| AA-Omniscience Hallucination RateSource | 51.0% | 73.2% | Llama 3.1 405B leads |
| GPQA-DSource | — | 89.5% | Not comparable |
| HLESource | — | 50.4% | Not comparable |
| HLE w/o toolsSource | — | 42.8% | Not comparable |
| HealthBench HardSource | — | 42.8% | Not comparable |
| MedXpertQA (Text)Source | — | 52.6% | Not comparable |
Math2 benchmarks
Multimodal8 benchmarks
| Benchmark | Llama 3.1 405B | Muse Spark | Result |
|---|---|---|---|
| CharXivSource | — | 86.4% | Not comparable |
| MMMU-ProSource | — | 80.4% | Not comparable |
| ERQASource | — | 64.7% | Not comparable |
| SimpleVQASource | — | 71.3% | Not comparable |
| ScreenSpot ProSource | — | 84.1% | Not comparable |
| ZeroBenchSource | — | 33.0% | Not comparable |
| MedXpertQA (MM)Source | — | 78.4% | Not comparable |
| AA-MMMU-ProSource | — | 80.5% | Not comparable |
Inst. Following1 benchmarks
| Benchmark | Llama 3.1 405B | Muse Spark | Result |
|---|---|---|---|
| AA-IFBenchSource | 39.0% | 75.9% | Muse Spark leads |
Frequently Asked Questions (3)
Can I compare Llama 3.1 405B and Muse Spark 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 Llama 3.1 405B and Muse Spark today?
Llama 3.1 405B: $0.00 input / $0.00 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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