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text model comparison

Gemini 3.8 Flash vs Muse Spark 1.3

Gemini 3.8 Flash and Muse Spark 1.3 are both current text models, from Google and Meta. Gemini 3.8 Flash is 40% cheaper per 1M input tokens than Muse Spark 1.3, $0.75 vs $1.25. On Arena Text, Gemini 3.8 Flash scores 1497 Elo and Muse Spark 1.3 1494 Elo (Arena, measured October 8, 2026). Both accept 1,048,576 tokens of context.

Data verified October 12, 2026 · Dataset 2026-10-12

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Side by side

Standard-tier prices in effect today. The better value in each row is highlighted.

FactGemini 3.8 FlashMuse Spark 1.3
Price per 1M input tokens$0.75 (better)$1.25
Price per 1M output tokens$3.75 (better)$4.25
Cost of 10M input and 2M output tokens$15 (better)$21
Arena Text1497 Elo (#4 of 39) (better)1494 Elo (#5 of 39)
FrontierMath Tiers 1-3 (v2)68.4% (#21 of 37)74.4% (#18 of 37) (better)
GPQA Diamond95.4% (#3 of 37)Not measured
SimpleQA Verified69.7% (#7 of 34)Not measured
ProviderGoogleMeta
Release dateSeptember 2, 2026September 2, 2026
AccessAPI onlyAPI only
Context window1,048,576 tokens1,048,576 tokens
Max output65,536 tokensNot reported
Inputtext, image, audio, videotext, image, audio, video
Outputtexttext

Scores:Arena · 2026-10-12Epoch AI · 2026-10-12

Open both in the interactive comparison

When to choose each

Gemini 3.8 Flash

Best for

  • High-volume agentic and coding workloads where per-token cost dominates the decision
  • Multimodal pipelines that need audio, video and PDF input in one model

Watch out for

  • The listed price is promotional and ends 31 December 2026; on 1 January 2027 input and output both double, to $1.50 and $7.50, and cached input goes from $0.075 to $0.15
  • Output pricing is billed inclusive of thinking tokens, so reasoning-heavy prompts cost more than the output length suggests
  • Google’s published comparisons are against its own previous Flash release and were not independently reproduced here
Full Gemini 3.8 Flash profile

Muse Spark 1.3

Best for

  • Tool-heavy agent loops where fewer calls per task matters as much as the per-token rate
  • Coding agents at volume, where its coding scores and low price line up

Watch out for

  • Meta’s own documentation states audio understanding is not fully supported and response quality may be degraded on requests containing audio
  • The much cheaper contributor endpoint (about $0.10 / $0.20 per million) is priced that way in exchange for Meta training on your traffic. The standard tier is the rate recorded here.
  • Meta’s scorecard has it trailing Claude Opus 5 on every broader agent-workflow benchmark it published, including GDPVal-AA v2, despite winning the coding rows
Full Muse Spark 1.3 profile

Gemini 3.8 Flash vs Muse Spark 1.3 FAQ

Which is cheaper, Gemini 3.8 Flash or Muse Spark 1.3?

Gemini 3.8 Flash is 40% cheaper per 1M input tokens than Muse Spark 1.3, $0.75 vs $1.25. For 10M input and 2M output tokens, Gemini 3.8 Flash costs $15 and Muse Spark 1.3 $21 at standard rates.

Which scores higher on independent benchmarks, Gemini 3.8 Flash or Muse Spark 1.3?

Gemini 3.8 Flash leads on Arena Text, 1497 Elo to 1494 Elo; Muse Spark 1.3 leads on FrontierMath Tiers 1-3 (v2), 74.4% to 68.4%. Scores are independent evaluations, not either vendor's launch figures.

Which has the larger context window, Gemini 3.8 Flash or Muse Spark 1.3?

Both accept 1,048,576 tokens of context.

Production evaluation

Choosing between Gemini 3.8 Flash and Muse Spark 1.3?

Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • A head-to-head evaluation on your real workload
  • Routing between models by cost and difficulty