Muse Spark 1.3 vs gpt-oss-120b
At a Glance
| Compare |  Muse Spark 1.3Meta |  gpt-oss-120bOpenAI |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | Not reported | $0.037Deepinfra ↗ · Sep 21, 2026 |
| Output priceFrom · USD / 1M tokens | Not reported | $0.17Deepinfra ↗ · Sep 21, 2026 |
| Context windowMaximum documented tokens | Not reported | 131K |
| Model facts checked | Sep 4, 2026View model evidence → | Aug 28, 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 1.3 | gpt-oss-120b |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,489.74100% of row best · rating · muse-spark-1.3-max; 95% CI [1480.91456937, 1498.56660928]; votes 4723; rank 10 | 1,365.8792% of row best · rating · gpt-oss-120b; 95% CI [1361.49487468, 1370.23719284]; votes 29955; rank 176 |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 82.63100% of row best · points · Muse Spark 1.3 (thinking) · 6,301 output tokens / case | 68.0182% of row best · points · gpt-oss 120B (high) · 7,577 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
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 1.3 | gpt-oss-120b |
|---|---|---|
| Developer | Meta | OpenAI |
| Family | Muse Spark | Gpt Oss 120b |
| Model | Muse Spark 1.3 | gpt-oss-120b |
| Version | Muse Spark 1.3 | gpt-oss-120b |
| Lifecycle | preview | active |
| Released | 2026-09-02 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video | Text |
| Output modalities | Text | Text |
| Context window | Unknown | 131K |
| Total parameters | Unknown | 116.8B |
| Active parameters | Unknown | 5.1B |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Unknown | Cerebras (Standard), Deepinfra (Standard), Fireworks Ai (Serverless, Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard) |
| Capabilities | chat, computer-use, generation, reasoning, research, tools | chat, generation, reasoning, tools |
Muse Spark 1.3 Capabilities
gpt-oss-120b Capabilities
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Primary Evidence
Sources and Freshness
Questions
Muse Spark 1.3 vs gpt-oss-120b FAQs
Is Muse Spark 1.3 or gpt-oss-120b better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Muse Spark 1.3 and gpt-oss-120b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Muse Spark 1.3 or gpt-oss-120b?+
Only gpt-oss-120b has a directly sourced input price: $0.037 per million tokens. Only gpt-oss-120b has a directly sourced output price: $0.17 per million tokens.
Which has a larger context window, Muse Spark 1.3 or gpt-oss-120b?+
Neither model has a larger sourced context window in this comparison. Muse Spark 1.3 is — and gpt-oss-120b is 131K.
Which performs better in benchmarks, Muse Spark 1.3 or gpt-oss-120b?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can Muse Spark 1.3 or gpt-oss-120b be self-hosted?+
gpt-oss-120b is the only model in this pair currently marked as self-hostable. Muse Spark 1.3 is not marked open weight; gpt-oss-120b is open weight.
Can Muse Spark 1.3 and gpt-oss-120b understand images?+
Muse Spark 1.3 is documented with image input; gpt-oss-120b is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Muse Spark 1.3 or gpt-oss-120b?+
Neither has a larger sourced maximum output. Muse Spark 1.3 is — and gpt-oss-120b is —.
Do Muse Spark 1.3 and gpt-oss-120b support reasoning and tool use?+
Muse Spark 1.3: reasoning, tool calling, and image input. gpt-oss-120b: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Muse Spark 1.3 or gpt-oss-120b?+
Muse Spark 1.3 has 0 sourced provider routes; gpt-oss-120b has 7, so gpt-oss-120b has broader tracked availability.
Which offers better value, Muse Spark 1.3 or gpt-oss-120b?+
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.