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Five or fewer confirmed AI changes, with original sources, on mornings when something changed.A free source-linked morning brief.

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Model A
Grok 4.5

xAI

75.2/100

Supported · Public rank #10

90% interval 70.6–79.8

Grok 4.5 vs Hy3 Preview

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

Model B
Hy3 Preview

Tencent

43.9/100

Estimated · Public rank #174

90% interval 34.0–53.8

Decision reading

Grok 4.5 has the higher public score, 75.19 versus 43.89, and the 90% score intervals do not overlap.

2 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.

  • Agentic work

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

    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

    Grok 4.5

    Grok 4.5 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

    No shared weighted benchmark basis supports a winner.

    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
2
Grok 4.5 only
8
Hy3 Preview only
4
Like-for-like categories
1 / 8

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.

Agentic

Like-for-like
Grok 4.5
83.3
Hy3 Preview
54.4
Weighted basis
1 vs 1 rows
Reading
Grok 4.5 leads

Coding

Not comparable
Grok 4.5
64.7
Hy3 Preview
74.4
Weighted basis
1 vs 1 rows
Reading
Not comparable

Reasoning

Not comparable
Grok 4.5
52.6
Hy3 Preview
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Grok 4.5
Not measured
Hy3 Preview
87.2
Weighted basis
0 vs 1 rows
Reading
Not comparable

Math

Not comparable
Grok 4.5
Not measured
Hy3 Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Grok 4.5
Not measured
Hy3 Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Grok 4.5
Not measured
Hy3 Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Grok 4.5
Not measured
Hy3 Preview
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
Hy3 Preview
Self-hosted; infrastructure cost varies
Fits in one request

Hy3 Preview has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Grok 4.5
$0.118
Fits in one request
Hy3 Preview
Self-hosted; infrastructure cost varies
Fits in one request

Hy3 Preview 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
Hy3 Preview
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Hy3 Preview 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

Hy3 Preview

256K

API model ID

Grok 4.5

Not sourced

Hy3 Preview

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

Hy3 Preview

No comparable hosted API rate

Documented inputs

Grok 4.5

Not sourced

Hy3 Preview

Not sourced

Documented outputs

Grok 4.5

Not sourced

Hy3 Preview

Not sourced

Provider availability

Grok 4.5

Not sourced

Hy3 Preview

Not sourced

Reasoning profile

Grok 4.5

Reasoning

Hy3 Preview

Reasoning

Weight access

Grok 4.5

Proprietary

Hy3 Preview

Open Weight

License

Grok 4.5

Proprietary

Hy3 Preview

Open Weight

Release date

Grok 4.5

2026-07-08

Hy3 Preview

2026-04-23

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
Grok 4.5 has the higher public score, 75.19 versus 43.89, and the 90% score intervals do not overlap.
Workload cost
A complete comparable API-rate estimate is not available for both models.
Context tradeoff
Grok 4.5 has the larger documented window (500K).

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 evidence14 rows

Agentic

  • Terminal-Bench 3.0

    Grok 4.515.7%
    Source
    Hy3 Preview

    Not directly comparable

  • Terminal-Bench 2.0

    Grok 4.583.3%
    Source
    Hy3 Preview54.4%
    Source

    Grok 4.5 leads this result

  • deepSwe

    Grok 4.553%
    Source
    Hy3 Preview

    Not directly comparable

  • Gert Labs

    Grok 4.5
    Hy3 Preview36.91%
    Source

    Not directly comparable

Coding

  • SWE-bench Pro

    Grok 4.564.7%
    Source
    Hy3 Preview

    Not directly comparable

  • SWE Multilingual

    Grok 4.578%
    Source
    Hy3 Preview

    Not directly comparable

  • Terminal-Bench 2.0

    Grok 4.583.3%
    Source
    Hy3 Preview54.4%
    Source

    Grok 4.5 leads this result

  • cursorBench32

    Grok 4.566.7%
    Source
    Hy3 Preview

    Not directly comparable

  • VulcanBench v3

    Grok 4.591.3%
    Source
    Hy3 Preview

    Not directly comparable

  • SWE-bench Verified

    Grok 4.5
    Hy3 Preview74.4%
    Source

    Not directly comparable

Reasoning

  • ARC-AGI-2

    Grok 4.552.6%
    Source
    Hy3 Preview

    Not directly comparable

  • ARC-AGI-3

    Grok 4.50.3%
    Source
    Hy3 Preview

    Not directly comparable

Knowledge

  • GPQA

    Grok 4.5
    Hy3 Preview87.2%
    Source

    Not directly comparable

  • GPQA-D

    Grok 4.5
    Hy3 Preview87.2%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Grok 4.5 or Hy3 Preview?

Grok 4.5 has the higher public score, 75.19 versus 43.89, and the 90% score intervals do not overlap. That is the clearest overall quality signal in the current public data.

Which is better for coding, Grok 4.5 or Hy3 Preview?

The published evidence does not provide a shared weighted coding basis for both models, so BenchLM does not name a coding winner.

Which is better for agentic tasks, Grok 4.5 or Hy3 Preview?

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

Which costs less, Grok 4.5 or Hy3 Preview?

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 Hy3 Preview?

Grok 4.5 has the larger documented context window: 500K, compared with 256K.

Related comparisons

Last updated August 22, 2026

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