Muse Spark 1.2 vs Grok 4.3
At a Glance
| Compare |  Muse Spark 1.2Meta | Grok 4.3xAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #40 of 4616.6 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 11.1–44.4 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #7 of 44$0.028 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #33 of 3846.0 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 43.3–59.9 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $1.25Xai ↗ · Sep 3, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $2.50Xai ↗ · Sep 3, 2026 |
| Context windowMaximum documented tokens | Not reported | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Muse Spark 1.2 | Grok 4.3 |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,489.44100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1478.95697715, 1499.92080617]; votes 3227; rank 11 | 1,397.7394% of row best · rating · grok-4.3; 95% CI [1394.01930088, 1401.44639527]; votes 66801; rank 145 |
| LMArena Vision Arenavision-2026-09-13-d25aabda0010 · arena_rating · leader | 1,303.88100% of row best · rating · muse-spark-1.2 (xHigh); 95% CI [1289.13624882, 1318.62565115]; votes 1841; rank 14 | 1,229.4794% of row best · rating · grok-4.3; 95% CI [1223.17337452, 1235.75913440]; votes 22688; rank 67 |
| LiveBench2026-06-25 · overall · leader | 81.88100% of row best · percent · muse-spark-1.2-xhigh · 18,700 output tokens / case | 69.2785% of row best · percent · grok-4.3 · 11,184 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 3 benchmark winsOverall lead | 0 benchmark wins |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Muse Spark 1.2 | Grok 4.3 |
|---|---|---|
| Developer | Meta | xAI |
| Family | Muse Spark | Grok 4 |
| Model | Muse Spark 1.2 | Grok 4.3 |
| Version | Muse Spark 1.2 | Grok 4.3 |
| Lifecycle | preview | active |
| Released | 2026-08-05 | 2026-06-17 |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio | Text, Image |
| Output modalities | Text | Text |
| Context window | Unknown | 1,000K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Unknown | Xai (Standard) |
| Capabilities | chat, computer-use, generation, reasoning, research, structured_outputs, tools | chat, generation, reasoning, structured_outputs, tools |
Muse Spark 1.2 Capabilities
Grok 4.3 Capabilities
Related Comparisons
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|---|---|---|---|
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 DeepSeek-V4.1-FlashDeepSeek | vs | Muse Spark 1.2Meta | cross-developer peersimage, text |
Muse Spark 1.2Meta | vs | Grok 4.6xAI | cross-developer peersimage, text |
Muse Spark 1.2Meta | vs |  Qwen3.8-MaxQwen | cross-developer peersimage, text, video |
Muse Spark 1.2Meta | vs |  Kimi-K3Moonshot AI | cross-developer peersimage, text |
 MiniMax-M3MiniMax | vs | Muse Spark 1.2Meta | cross-developer peersimage, text |
Muse Spark 1.2Meta | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Muse Spark 1.2Meta | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Muse Spark 1.2Meta | cross-developer peersimage, text, video |
Muse Spark 1.2Meta | vs |  Mistral Large 3Mistral AI | cross-developer peersimage, text |
Primary Evidence
Sources and Freshness
Questions
Muse Spark 1.2 vs Grok 4.3 FAQs
Is Muse Spark 1.2 or Grok 4.3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.2 and Grok 4.3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Spark 1.2 or Grok 4.3?+
Only Grok 4.3 has a directly sourced input price: $1.25 per million tokens. Only Grok 4.3 has a directly sourced output price: $2.50 per million tokens.
Which has a larger context window, Muse Spark 1.2 or Grok 4.3?+
Neither model has a larger sourced context window in this comparison. Muse Spark 1.2 is — and Grok 4.3 is 1,000K.
Which performs better in benchmarks, Muse Spark 1.2 or Grok 4.3?+
Muse Spark 1.2 leads the current overall benchmark count. The result uses 3 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can Muse Spark 1.2 or Grok 4.3 be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Muse Spark 1.2 is not marked open weight; Grok 4.3 is not marked open weight.
Can Muse Spark 1.2 and Grok 4.3 understand images?+
Muse Spark 1.2 is documented with image input; Grok 4.3 is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Muse Spark 1.2 or Grok 4.3?+
Neither has a larger sourced maximum output. Muse Spark 1.2 is — and Grok 4.3 is —.
Do Muse Spark 1.2 and Grok 4.3 support reasoning and tool use?+
Muse Spark 1.2: reasoning, tool calling, and image input. Grok 4.3: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Muse Spark 1.2 or Grok 4.3?+
Muse Spark 1.2 has 0 sourced provider routes; Grok 4.3 has 1, so Grok 4.3 has broader tracked availability.
Which offers better value, Muse Spark 1.2 or Grok 4.3?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.