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// alternatives · October 2026

Muse Wonder alternatives

Cheaper models that come close, budget substitutes, and the cheapest step up — chosen on published LiveBench scores and live list price, never on our opinion. Every model here supports tool calling and image input, as Muse Wonder does.

The closest cheaper alternative to Muse Wonder is GPT-6.1 Sol — 9.9 points higher overall, 50% cheaper on LiveBench and list price.

Muse Wonder: 74.2 overall on LiveBench, $8.00 per 1M blended tokens, about $2,880/mo for a RAG assistant.

Cheaper, close in quality

Lower list price and within 5 points of Muse Wonder on LiveBench overall — the switches least likely to be noticed by users. Strongest first.

ModelOverallvs Muse WonderBlended / 1MRAG assistantContext
GPT-6.1 Solopenai

9.9 points higher overall, 50% cheaper. Head to head →

84.1+9.9$4.00−50%$1,440/mo1.1M
Claude Sonnet 5.5anthropic

5.9 points higher overall, 50% cheaper. Head to head →

80.0+5.9$4.00−50%$1,440/mo1M
Gemini 4 Argongoogle

5.2 points higher overall, 50% cheaper. Head to head →

79.3+5.2$4.00−50%$1,440/mo1.0M
GPT-6.1 Terraopenai

3.6 points higher overall, 75% cheaper. Head to head →

77.8+3.6$2.00−75%$720.00/mo1.1M
DeepSeek V4.1 Flash 1017deepseek

Effectively the same overall score, 93% cheaper. Head to head →

74.0−0.1$0.525−93%$194.40/mo1.0M

Budget substitutes

Within 15 points of Muse Wonder, cheapest first — and only models that are the best score at their price, so nothing here is beaten by a cheaper pick. Worth testing for high-volume traffic where the last few points matter less than the bill.

ModelOverallvs Muse WonderBlended / 1MRAG assistantContext
Claude Haiku 5.5anthropic

4.3 points lower overall, 98% cheaper. Head to head →

69.8−4.3$0.200−98%$74.00/mo1M
SpaceXAI: Grok 4.7x-ai

4.0 points lower overall, 63% cheaper. Head to head →

70.1−4.0$3.00−63%$1,360/mo500K
Kimi K3.1 Promoonshotai

2.9 points lower overall, 50% cheaper. Head to head →

71.3−2.9$4.00−50%$1,480/mo1.0M

Match it on one task for less

For each LiveBench category, the cheapest model that scores at least as well as Muse Wonder there. Useful when your workload is mostly one kind of task.

CategoryCheapest matchScoreBlended / 1M
Long-horizon agenticGemini 4 Argon61.2 vs 52.6$4.00−50%
CodingClaude Haiku 5.591.4 vs 86.2$0.200−98%
ReasoningKimi K390.7 vs 90.6$2.99−63%
BrowserClaude Haiku 5.569.5 vs 60.0$0.200−98%
Data analysisGPT-6.1 Terra82.3 vs 81.6$2.00−75%
Documents & designClaude Haiku 5.583.1 vs 75.1$0.200−98%

Stronger options, cheapest first

Models that beat Muse Wonder on LiveBench overall, ordered by what the upgrade costs.

ModelOverallvs Muse WonderBlended / 1MRAG assistantContext
GPT-6.1 Terraopenai

3.6 points higher overall, 75% cheaper. Head to head →

77.8+3.6$2.00−75%$720.00/mo1.1M
Gemini 4 Argongoogle

5.2 points higher overall, 50% cheaper. Head to head →

79.3+5.2$4.00−50%$1,440/mo1.0M
GPT-6.1 Solopenai

9.9 points higher overall, 50% cheaper. Head to head →

84.1+9.9$4.00−50%$1,440/mo1.1M
Claude Sonnet 5.5anthropic

5.9 points higher overall, 50% cheaper. Head to head →

80.0+5.9$4.00−50%$1,440/mo1M
Claude Opus 5.5anthropic

11.0 points higher overall, the same list price. Head to head →

85.1+11.0$8.00$2,880/mo1M

Muse Wonder alternatives FAQ

What is the best alternative to Muse Wonder?

GPT-6.1 Sol. 9.9 points higher overall, 50% cheaper. Every suggestion supports tool calling and image input, like Muse Wonder.

What is the cheapest alternative to Muse Wonder?

Claude Haiku 5.5 at $0.200 per 1M blended tokens, scoring 69.8 overall against Muse Wonder's 74.2. On a RAG assistant at 100K requests a month that is $74.00 instead of $2,880.

Which model is better than Muse Wonder?

The cheapest model that scores higher overall on LiveBench is GPT-6.1 Terra — 3.6 points higher overall, 75% cheaper.

Is there a cheaper model that matches Muse Wonder on specific tasks?

Yes, in 6 of the seven LiveBench categories. For example, long-horizon agentic: Gemini 4 Argon (61.2 vs 52.6); coding: Claude Haiku 5.5 (91.4 vs 86.2); reasoning: Kimi K3 (90.7 vs 90.6).

How alternatives are chosen

  • Scores — LiveBench release 2026-10-25. Only models with a published run are suggested on quality; a missing model means “not evaluated”, not “worse”.
  • Prices — live list prices from OpenRouter, blended 3:1 input:output. Monthly figures price a RAG assistant with the published cached-input rate where there is one.
  • Same job — suggestions must support every capability Muse Wonder has among tool calling and image input. Other listings of the same model (free or batch tiers) are variants, not alternatives, and are left out.

A few points on a public benchmark can hide large differences on your own tasks. Shortlist here, then decide with an eval — how to build one.