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BenchLM
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Model A
Mercury Edit 2

Inception

—

Evidence status unavailable

90% interval unavailable

Mercury Edit 2 vs Muse Spark 1.1

Updated September 10, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

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Model B
Muse Spark 1.1

Meta

70.41/100

Supported · Public rank #16

90% interval 63.1–77.7

Decision reading

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. Use the documented cost, context, and runtime rows instead.

0 results are shared. Category rows resting on Estimated evidence or different benchmark sets are marked directional and do not name a winner.

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Which one for your work

Recommendations appear only when a shared evidence basis or an explicit operating constraint supports the call. Secondary and unsupported use cases stay disclosed below the initial list.

  • Long documents

    Prompts that approach the documented context limit

    Muse Spark 1.1

    Muse Spark 1.1 has the larger documented context window.

    Confidence: documented

Show secondary and unsupported calls

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    Mercury Edit 2 is not ranked on the public lane for coding, so no winner is named for coding.

    Confidence: limited

  • Agentic work

    Tool use, computer use, and multi-step task completion

    Not enough matched evidence

    Mercury Edit 2 is not ranked on the public lane for agentic, so no winner is named for agentic.

    Confidence: limited

  • Chat turn cost

    1K fresh input + 500 output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

  • Cache-heavy agent loop cost

    200K cached + 20K fresh input + 10K output tokens

    Not enough matched evidence

    The page does not recommend a cost winner because at least one model cannot fit the stated workload in one request. Mercury Edit 2 does not fit this workload in one request. Muse Spark 1.1 has no comparable published API token rate.

    Confidence: listed-rates

  • Repository review cost

    50K fresh input + 3K output tokens

    Not enough matched evidence

    A complete comparable API-rate estimate is not available for both models.

    Confidence: listed-rates

What is actually comparable

Shared results can support a head-to-head reading. Results present for only one model describe coverage, not superiority.

Shared results
0
Mercury Edit 2 only
0
Muse Spark 1.1 only
26
Like-for-like categories
0 / 8

Category results, on a stated basis

Each row shows the public-lane category score for both models: the BenchAlign lane for agentic, coding, and knowledge, and the weighted public rows elsewhere, with the same rank each model page reports. A row is like-for-like only when both scores rest on Supported evidence or the same weighted set. Directional and not-comparable rows remain visible, but they never receive a winner.

Agentic

Not comparable
Mercury Edit 2
Not ranked
Muse Spark 1.1
59.4
Supported · #23/152
Basis
BenchAlign lane · 0 vs 14 public rows
Reading
Not comparable

Coding

Not comparable
Mercury Edit 2
Not ranked
Muse Spark 1.1
59.7
Supported · #23/151
Basis
BenchAlign lane · 0 vs 4 public rows
Reading
Not comparable

Reasoning

Not comparable
Mercury Edit 2
Not ranked
Muse Spark 1.1
74.4
Unranked · 3 rankable rows
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Mercury Edit 2
Not ranked
Muse Spark 1.1
70.7
Supported · #11/183
Basis
BenchAlign lane · 0 vs 5 public rows
Reading
Not comparable

Math

Not comparable
Mercury Edit 2
Not ranked
Muse Spark 1.1
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Mercury Edit 2
Not ranked
Muse Spark 1.1
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Mercury Edit 2
Not ranked
Muse Spark 1.1
77.5
Unranked · 2 rankable rows
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Mercury Edit 2
Not ranked
Muse Spark 1.1
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Ranks count the models scored in each category’s lane, so the agentic, coding, and knowledge denominators (BenchAlign) differ from the provisional-lane categories. Unranked scores sit on the lane’s scale but never name a winner. Like-for-like rows within 0.5 points read as a practical tie.

Shape of the matched evidence

Only shared public evidence is shown. Sparse evidence stays a ruled list rather than being closed into a radar shape.

A shared-evidence shape is not available.

BenchLM does not draw a radar or infer missing axes when the matched evidence is too sparse.

What each workload costs

Three fixed token mixes turn per-token rates into comparable decisions. Each scenario states context fit and whether cached input had to fall back to the published list-input rate.

Chat turn

1K fresh input + 500 output tokens

Mercury Edit 2
$0.00063
Fits in one request
Muse Spark 1.1
API rate not published
Fits in one request

Muse Spark 1.1 has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Mercury Edit 2
$0.01475
Fits in one request
Muse Spark 1.1
API rate not published
Fits in one request

Muse Spark 1.1 has no comparable published API token rate.

Cache-heavy agent loop

200K cached + 20K fresh input + 10K output tokens

Mercury Edit 2
$0.0175
Does not fit in one request
Muse Spark 1.1
API rate not published
Fits in one request
Cached-input rate unavailable

Mercury Edit 2 does not fit this workload in one request. Muse Spark 1.1 has no comparable published API token rate.

Specification differences

Sourced differences are shown directly. Missing facts stay explicit instead of being inferred from a model name or family.

Cached-input rate

A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.

Mercury Edit 2

$0.025 per 1M cached input tokens

Inception Mercury Edit 2 launch post

Muse Spark 1.1

No comparable hosted API rate

Documented inputs

Mercury Edit 2

Not sourced

Muse Spark 1.1

Not sourced

Documented outputs

Mercury Edit 2

Not sourced

Muse Spark 1.1

Not sourced

Provider availability

Mercury Edit 2

Not sourced

Muse Spark 1.1

Not sourced

Reasoning profile

Mercury Edit 2

Non-Reasoning

Muse Spark 1.1

Reasoning

Weight access

Mercury Edit 2

Proprietary

Muse Spark 1.1

Proprietary

License

Mercury Edit 2

Proprietary

Muse Spark 1.1

Proprietary

Release date

Mercury Edit 2

2026-03-30

Muse Spark 1.1

2026-07-09

If you already use one of these models
Deployment change
The models list different providers, so authentication, endpoint behavior, limits, and feature support may change.
Quality signal
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Muse Spark 1.1 has the larger documented window (1M).

Run the same representative tasks against both endpoints before changing production traffic.

Benchmark evidence

The full public result ledger is available for audit without forcing a wide desktop table onto a phone.

Browse raw public benchmark evidence26 rows

Agentic

  • Terminal-Bench 2.0

    Mercury Edit 2—
    Muse Spark 1.180%
    Source

    Not directly comparable

  • MCP Atlas

    Mercury Edit 2—
    Muse Spark 1.188.1%
    Source

    Not directly comparable

  • Toolathlon

    Mercury Edit 2—
    Muse Spark 1.175.6%
    Source

    Not directly comparable

  • OSWorld-Verified

    Mercury Edit 2—
    Muse Spark 1.180.8%
    Source

    Not directly comparable

  • WebArena-Verified

    Mercury Edit 2—
    Muse Spark 1.169%
    Source

    Not directly comparable

  • DeepSearchQA

    Mercury Edit 2—
    Muse Spark 1.184.9%
    Source

    Not directly comparable

  • CyberGym

    Mercury Edit 2—
    Muse Spark 1.159.0%
    Source

    Not directly comparable

  • Finance Agent v2

    Mercury Edit 2—
    Muse Spark 1.157.2%
    Source

    Not directly comparable

  • deepSwe

    Mercury Edit 2—
    Muse Spark 1.153.3%
    Source

    Not directly comparable

  • OSWorld 2.0

    Mercury Edit 2—
    Muse Spark 1.114.2%
    Source

    Not directly comparable

  • JobBench

    Mercury Edit 2—
    Muse Spark 1.154.7%
    Source

    Not directly comparable

  • Cybench

    Mercury Edit 2—
    Muse Spark 1.192.9%
    Source

    Not directly comparable

  • ExploitGym

    Mercury Edit 2—
    Muse Spark 1.10.8%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Mercury Edit 2—
    Muse Spark 1.169.3%
    Source

    Not directly comparable

Coding

  • Terminal-Bench 2.0

    Mercury Edit 2—
    Muse Spark 1.180.0%
    Source

    Not directly comparable

  • SWE-bench Pro

    Mercury Edit 2—
    Muse Spark 1.161.5%
    Source

    Not directly comparable

  • LiveCodeBench (Vals)

    Mercury Edit 2—
    Muse Spark 1.185.9%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Mercury Edit 2—
    Muse Spark 1.182.0%
    Source

    Not directly comparable

Reasoning

  • MRCR 1M

    Mercury Edit 2—
    Muse Spark 1.154.1%
    Source

    Not directly comparable

Knowledge

  • HLE

    Mercury Edit 2—
    Muse Spark 1.162.1%
    Source

    Not directly comparable

  • HLE w/o tools

    Mercury Edit 2—
    Muse Spark 1.152.2%
    Source

    Not directly comparable

  • HealthBench Professional

    Mercury Edit 2—
    Muse Spark 1.159.3%
    Source

    Not directly comparable

  • GPQA Diamond (Vals)

    Mercury Edit 2—
    Muse Spark 1.191.2%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    Mercury Edit 2—
    Muse Spark 1.188.7%
    Source

    Not directly comparable

Multimodal

  • CharXiv

    Mercury Edit 2—
    Muse Spark 1.188.4%
    Source

    Not directly comparable

  • BabyVision

    Mercury Edit 2—
    Muse Spark 1.176.3%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Mercury Edit 2 or Muse Spark 1.1?

The public evidence has no benchmark result shared by both models, so it does not support a quality verdict. The page therefore keeps the decision tied to the specific documented workload.

Which is better for coding, Mercury Edit 2 or Muse Spark 1.1?

Mercury Edit 2 is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Mercury Edit 2 or Muse Spark 1.1?

Mercury Edit 2 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Mercury Edit 2 or Muse Spark 1.1?

Both models do not have comparable published API token rates, so this page does not name a universal price winner.

Which has the larger context window, Mercury Edit 2 or Muse Spark 1.1?

Muse Spark 1.1 has the larger documented context window: 1M, compared with 128K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 10, 2026

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