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BenchLM
Model A
Grok 4.5

xAI

75.2/100

Supported · Public rank #10

90% interval 70.6–79.8

Grok 4.5 vs Muse Spark 1.1

Updated August 22, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B
Muse Spark 1.1

Meta

76.7/100

Supported · Public rank #7

90% interval 72.6–80.9

Decision reading

Muse Spark 1.1 has the higher public score estimate, 76.74 versus 75.19, but the 90% score intervals overlap. Treat that as a lead, not a settled winner.

4 results are shared. Category rows based on different benchmark sets are marked directional and do not name a winner.

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.

  • Coding work

    Code generation, repair, and software-engineering tasks

    Grok 4.5

    Grok 4.5 leads on the same 1 weighted benchmark row.

    Confidence: limited

  • 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

  • Agentic work

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

    Not enough matched evidence

    The category averages use different weighted benchmark sets, so they are directional rather than like-for-like.

    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

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

    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
4
Grok 4.5 only
6
Muse Spark 1.1 only
17
Like-for-like categories
1 / 8

1 category uses different evidence sets. Those rows remain visible for coverage context but do not name a winner.

Category results, on a stated basis

Each row states whether both averages use the same weighted benchmark set. Directional and not-comparable rows remain visible, but they never receive a winner in this template.

Coding

Like-for-like
Grok 4.5
64.7
Muse Spark 1.1
61.5
Weighted basis
1 vs 1 rows
Reading
Grok 4.5 leads

Agentic

Directional only
Grok 4.5
83.3
Muse Spark 1.1
80.4
Weighted basis
1 vs 2 rows
Reading
Directional only

Reasoning

Not comparable
Grok 4.5
52.6
Muse Spark 1.1
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Grok 4.5
Not measured
Muse Spark 1.1
62.1
Weighted basis
0 vs 1 rows
Reading
Not comparable

Math

Not comparable
Grok 4.5
Not measured
Muse Spark 1.1
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Grok 4.5
Not measured
Muse Spark 1.1
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Grok 4.5
Not measured
Muse Spark 1.1
88.4
Weighted basis
0 vs 1 rows
Reading
Not comparable

Instruction following

Not comparable
Grok 4.5
Not measured
Muse Spark 1.1
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

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.

Too few matched category axes support a radar. The ruled list below shows only shared benchmark results; positions use each benchmark’s normalized display scale when available.

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

Grok 4.5
$0.005
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

Grok 4.5
$0.118
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

Grok 4.5
$0.16
Fits in one request
Muse Spark 1.1
API rate not published
Fits in one request
Cached-input rate unavailable

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.

Context window

Maximum documented context; output-token limits may be lower.

Grok 4.5

500K

Muse Spark 1.1

1M

API model ID

Grok 4.5

Not sourced

Muse Spark 1.1

Not sourced

Cached-input rate

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

Grok 4.5

$0.3 per 1M cached input tokens

Muse Spark 1.1

No comparable hosted API rate

Documented inputs

Grok 4.5

Not sourced

Muse Spark 1.1

Not sourced

Documented outputs

Grok 4.5

Not sourced

Muse Spark 1.1

Not sourced

Provider availability

Grok 4.5

Not sourced

Muse Spark 1.1

Not sourced

Reasoning profile

Grok 4.5

Reasoning

Muse Spark 1.1

Reasoning

Weight access

Grok 4.5

Proprietary

Muse Spark 1.1

Proprietary

License

Grok 4.5

Proprietary

Muse Spark 1.1

Proprietary

Release date

Grok 4.5

2026-07-08

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
Muse Spark 1.1 has the higher public score estimate, 76.74 versus 75.19, but the 90% score intervals overlap.
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 evidence27 rows

Agentic

  • Terminal-Bench 3.0

    Grok 4.515.7%
    Source
    Muse Spark 1.1—

    Not directly comparable

  • Terminal-Bench 2.0

    Grok 4.583.3%
    Source
    Muse Spark 1.180%
    Source

    Grok 4.5 leads this result

  • deepSwe

    Grok 4.553%
    Source
    Muse Spark 1.153.3%
    Source

    Muse Spark 1.1 leads this result

  • MCP Atlas

    Grok 4.5—
    Muse Spark 1.188.1%
    Source

    Not directly comparable

  • Toolathlon

    Grok 4.5—
    Muse Spark 1.175.6%
    Source

    Not directly comparable

  • OSWorld-Verified

    Grok 4.5—
    Muse Spark 1.180.8%
    Source

    Not directly comparable

  • WebArena-Verified

    Grok 4.5—
    Muse Spark 1.169%
    Source

    Not directly comparable

  • DeepSearchQA

    Grok 4.5—
    Muse Spark 1.184.9%
    Source

    Not directly comparable

  • CyberGym

    Grok 4.5—
    Muse Spark 1.159.0%
    Source

    Not directly comparable

  • Finance Agent v2

    Grok 4.5—
    Muse Spark 1.157.2%
    Source

    Not directly comparable

  • OSWorld 2.0

    Grok 4.5—
    Muse Spark 1.114.2%
    Source

    Not directly comparable

  • JobBench

    Grok 4.5—
    Muse Spark 1.154.7%
    Source

    Not directly comparable

  • Cybench

    Grok 4.5—
    Muse Spark 1.192.9%
    Source

    Not directly comparable

  • ExploitGym

    Grok 4.5—
    Muse Spark 1.10.8%
    Source

    Not directly comparable

Coding

  • SWE-bench Pro

    Grok 4.564.7%
    Source
    Muse Spark 1.161.5%
    Source

    Grok 4.5 leads this result

  • SWE Multilingual

    Grok 4.578%
    Source
    Muse Spark 1.1—

    Not directly comparable

  • Terminal-Bench 2.0

    Grok 4.583.3%
    Source
    Muse Spark 1.180.0%
    Source

    Grok 4.5 leads this result

  • cursorBench32

    Grok 4.566.7%
    Source
    Muse Spark 1.1—

    Not directly comparable

  • VulcanBench v3

    Grok 4.591.3%
    Source
    Muse Spark 1.1—

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Grok 4.552.6%
    Source
    Muse Spark 1.1—

    Not directly comparable

  • ARC-AGI-3

    Grok 4.50.3%
    Source
    Muse Spark 1.1—

    Not directly comparable

  • MRCR 1M

    Grok 4.5—
    Muse Spark 1.154.1%
    Source

    Not directly comparable

Knowledge

  • HLE

    Grok 4.5—
    Muse Spark 1.162.1%
    Source

    Not directly comparable

  • HLE w/o tools

    Grok 4.5—
    Muse Spark 1.152.2%
    Source

    Not directly comparable

  • HealthBench Professional

    Grok 4.5—
    Muse Spark 1.159.3%
    Source

    Not directly comparable

Multimodal

  • CharXiv

    Grok 4.5—
    Muse Spark 1.188.4%
    Source

    Not directly comparable

  • BabyVision

    Grok 4.5—
    Muse Spark 1.176.3%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Grok 4.5 or Muse Spark 1.1?

Muse Spark 1.1 has the higher public score estimate, 76.74 versus 75.19, but the 90% score intervals overlap. The higher estimate is not a decisive winner because the uncertainty ranges overlap.

Which is better for coding, Grok 4.5 or Muse Spark 1.1?

Grok 4.5 leads the like-for-like coding comparison across 1 shared weighted benchmark row.

Which is better for agentic tasks, Grok 4.5 or Muse Spark 1.1?

The current agentic tasks averages use different weighted benchmark sets, so BenchLM does not name a winner from them. Read the shared benchmark rows directly and test the models on the same task set.

Which costs less, Grok 4.5 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, Grok 4.5 or Muse Spark 1.1?

Muse Spark 1.1 has the larger documented context window: 1M, compared with 500K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated August 22, 2026

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