SOMA X v0.3.0 vs Qwen3.8 Max

At a Glance

Compare
Intelligence, Cost, and Efficiency
IntelligenceHigher is better · MM Intelligence v2.5UnrankedNot in the 46-model eligible cohort#10 of 4679.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 52.8–86.1
CostLower is better · Published-token output estimateUnrankedNot in the 44-model eligible cohort#23 of 44$0.107 per LiveBench case
EfficiencyHigher is better · MM Efficiency v1.5UnrankedNot in the 38-model eligible cohort#6 of 3863.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 50.0–66.7
Pricing and Limits
Input priceFrom · USD / 1M tokensNot reported$1.65Deepinfra · Sep 22, 2026
Output priceFrom · USD / 1M tokensNot reported$4.951Deepinfra · Sep 22, 2026
Context windowMaximum documented tokensNot reported1,000K
Model facts checkedSep 2, 2026View model evidence →Aug 29, 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 →

Different Model RolesThese models do not share a sourced market category. Their primary-source facts remain comparable below, while performance claims require matched evidence.

Available Benchmarks

All benchmark results →
No Protocol-Matched Benchmark Yet.Results appear here only when both models share the same benchmark version, metric, evaluation protocol, and evidence class.

Side-by-Side Facts

FieldSOMA-X v0.3.0Qwen3.8-Max
DeveloperNVIDIAQwen
FamilySoma XQwen3 8 Max
ModelSOMA-X v0.3.0Qwen3.8-Max
VersionSOMA-X v0.3.0Qwen3.8-Max
Lifecycleactiveactive
Released2026-09-02Unknown
Knowledge cutoffUnknownUnknown
Input modalitiesModel-specific inputText, Image, Video
Output modalities3DText
Context windowUnknown1,000K
Total parametersUnknown2.4T
Active parametersUnknownUnknown
Licenseapache-2.0Unknown
Open weightsYesNo
API availableNoYes
Self-hostableYesNo
Provider accessUnknownAlibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard)
Capabilitiesanimation, hand-modeling, human-body-modeling, motion-retargeting, pose-inversion, simulationagents, chat, reasoning, structured_outputs, tools, vision

SOMA X v0.3.0 Capabilities

animationhand-modelinghuman-body-modelingmotion-retargetingpose-inversionsimulation
Serving providers0
Canonical IDnvidia/SOMA-X-v0.3.0

Qwen3.8 Max Capabilities

agentschatreasoningstructured outputstoolsvision
Serving providers4
Canonical IDqwen/qwen3.8-max

Primary Evidence

Sources and Freshness

Questions

SOMA X v0.3.0 vs Qwen3.8 Max FAQs

Is SOMA X v0.3.0 or Qwen3.8 Max better for coding?+

This comparison does not currently contain a protocol-matched coding benchmark for both SOMA X v0.3.0 and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.

Which is cheaper, SOMA X v0.3.0 or Qwen3.8 Max?+

Only Qwen3.8 Max has a directly sourced input price: $1.65 per million tokens. Only Qwen3.8 Max has a directly sourced output price: $4.951 per million tokens.

Which has a larger context window, SOMA X v0.3.0 or Qwen3.8 Max?+

Neither model has a larger sourced context window in this comparison. SOMA X v0.3.0 is — and Qwen3.8 Max is 1,000K.

Which performs better in benchmarks, SOMA X v0.3.0 or Qwen3.8 Max?+

There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.

Can SOMA X v0.3.0 or Qwen3.8 Max be self-hosted?+

SOMA X v0.3.0 is the only model in this pair currently marked as self-hostable. SOMA X v0.3.0 is open weight; Qwen3.8 Max is not marked open weight.

Can SOMA X v0.3.0 and Qwen3.8 Max understand images?+

SOMA X v0.3.0 is not documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.

Which can generate longer answers, SOMA X v0.3.0 or Qwen3.8 Max?+

Neither has a larger sourced maximum output. SOMA X v0.3.0 is — and Qwen3.8 Max is 131K.

Do SOMA X v0.3.0 and Qwen3.8 Max support reasoning and tool use?+

SOMA X v0.3.0: none of these features are definitively sourced. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.

Which is available from more inference providers, SOMA X v0.3.0 or Qwen3.8 Max?+

SOMA X v0.3.0 has 0 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.

Which offers better value, SOMA X v0.3.0 or Qwen3.8 Max?+

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.

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