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Mercury 2 vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 23.7. Muse Spark 1.3 is 3.0x cheaper per token.

Inception · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to 23.7, ranking #5 overall.

On price, Muse Spark 1.3 is roughly 3.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mercury 2

  • you want predictable pricing at $0.25/M input and $0.75/M output

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 3.0x cheaper per token
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Mercury 2
Inception
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
23.7
#164
55.3
#5
Reasoning
22.8
#158
52.8
#7
Coding
12.7
#136
41.7
#10
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.25 / M
$0.10 / M
Output price
$0.75 / M
$0.20 / M
Context window
128,000
1,048,576

Individual benchmarks

6 reported for Mercury 2 · 11 for Muse Spark 1.3

No common benchmarks found

Mercury 2 and Muse Spark 1.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Muse Spark 1.3 costs less

For input processing, Mercury 2 ($0.25/1M tokens) is 2.5x more expensive than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Mercury 2 ($0.75/1M tokens) is 3.8x more expensive than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, Mercury 2 is more expensive than Muse Spark 1.3.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Fri Sep 04 2026 • llm-stats.com
Inception
Mercury 2
Input tokens$0.25
Output tokens$0.75
Best providerInception
Meta
Muse Spark 1.3
Input tokens$0.10
Output tokens$0.20
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to Mercury 2's 128,000 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Mercury 2 is limited to 8,192 tokens.

Inception
Mercury 2
Input128,000 tokens
Output8,192 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Muse Spark 1.3 supports multimodal inputs, whereas Mercury 2 does not.

Muse Spark 1.3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mercury 2

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Mercury 2

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Mercury 2 was released on 2026-02-24, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 6 months newer than Mercury 2.

Mercury 2

Feb 24, 2026

6 months ago

Muse Spark 1.3

Sep 2, 2026

2 days ago

6mo newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Provider Availability

Mercury 2 is available from Inception. Muse Spark 1.3 is available from Meta Model API.

Mercury 2

inception logo
Inception
Input Price:Input: $0.25/1MOutput Price:Output: $0.75/1M

Muse Spark 1.3

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Mercury 2 and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Mercury 2
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Mercury 2 vs Muse Spark 1.3.

Which is better, Mercury 2 or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to 23.7. Mercury 2 is made by Inception and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mercury 2 compare to Muse Spark 1.3 in benchmarks?

Mercury 2 scores AIME 2025: 91.1%, GPQA: 74.0%, IFBench: 71.0%, LiveCodeBench: 67.0%, Tau2 Airline: 53.0%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

Is Mercury 2 cheaper than Muse Spark 1.3?

Muse Spark 1.3 is 2.5x cheaper for input tokens. Mercury 2 costs $0.25/M input and $0.75/M output via inception. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for Mercury 2 and Muse Spark 1.3?

Mercury 2 supports 128K tokens and Muse Spark 1.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mercury 2 and Muse Spark 1.3?

Key differences include LLM Stats Score (23.7 vs 55.3), context window (128K vs 1.0M), input pricing ($0.25 vs $0.10/M), multimodal support (no vs yes). See the full comparison above for benchmark-by-benchmark results.

Who makes Mercury 2 and Muse Spark 1.3?

Mercury 2 is developed by Inception and Muse Spark 1.3 is developed by Meta.

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