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Model A
Claude 3 Haiku

Anthropic

Evidence status unavailable

90% interval unavailable

Claude 3 Haiku vs Claude Mythos Preview

Updated August 13, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

Model B
Claude Mythos Preview

Anthropic

Evidence status unavailable

90% interval unavailable

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 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.

  • Chat turn cost

    1K fresh input + 500 output tokens

    Claude 3 Haiku

    Claude 3 Haiku has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

Show secondary and unsupported calls
  • Repository review cost

    50K fresh input + 3K output tokens

    Claude 3 Haiku

    Claude 3 Haiku has the lower estimated token cost for this stated workload. Costs use the listed standard API rates.

    Confidence: listed-rates

  • Coding work

    Code generation, repair, and software-engineering tasks

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Agentic work

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

    Not enough matched evidence

    No shared weighted benchmark basis supports a winner.

    Confidence: limited

  • Long documents

    Prompts that approach the documented context limit

    Not enough matched evidence

    A complete context comparison is not sourced.

    Confidence: limited

  • 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. Claude 3 Haiku does not fit this workload in one request. Claude 3 Haiku has no published cached-input rate, so cached tokens use its listed input rate. Claude Mythos Preview has no published cached-input rate, so cached tokens use its listed input rate.

    Confidence: rate-fallback

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
Claude 3 Haiku only
0
Claude Mythos Preview only
2
Like-for-like categories
0 / 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

Not comparable
Claude 3 Haiku
Not measured
Claude Mythos Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Coding

Not comparable
Claude 3 Haiku
Not measured
Claude Mythos Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
Claude 3 Haiku
Not measured
Claude Mythos Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
Claude 3 Haiku
Not measured
Claude Mythos Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Math

Not comparable
Claude 3 Haiku
Not measured
Claude Mythos Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
Claude 3 Haiku
Not measured
Claude Mythos Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
Claude 3 Haiku
Not measured
Claude Mythos Preview
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
Claude 3 Haiku
Not measured
Claude Mythos 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.

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

Claude 3 Haiku
$0.00088
Fits in one request
Claude Mythos Preview
$0.0875
Fit state unavailable

Claude 3 Haiku has the lower modeled cost

Costs use the listed standard API rates.

Repository review

50K fresh input + 3K output tokens

Claude 3 Haiku
$0.01625
Fits in one request
Claude Mythos Preview
$1.63
Fit state unavailable

Claude 3 Haiku has the lower modeled cost

Costs use the listed standard API rates.

Cache-heavy agent loop

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

Claude 3 Haiku
$0.0675
Does not fit in one request
Cached input priced at the published list-input rate
Claude Mythos Preview
$6.75
Fit state unavailable
Cached input priced at the published list-input rate

Claude 3 Haiku does not fit this workload in one request. Claude 3 Haiku has no published cached-input rate, so cached tokens use its listed input rate. Claude Mythos Preview has no published cached-input rate, so cached tokens use its listed input 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.

Claude 3 Haiku

200K

Claude Mythos Preview

Not sourced

Cached-input rate

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

Claude 3 Haiku

Not published

Claude Mythos Preview

Documented inputs

Claude 3 Haiku

Not sourced

Claude Mythos Preview

Not sourced

Documented outputs

Claude 3 Haiku

Not sourced

Claude Mythos Preview

Not sourced

Provider availability

Claude 3 Haiku

Not sourced

Claude Mythos Preview

Not sourced

Reasoning profile

Claude 3 Haiku

Non-Reasoning

Claude Mythos Preview

Reasoning

Weight access

Claude 3 Haiku

Proprietary

Claude Mythos Preview

Proprietary

License

Claude 3 Haiku

Proprietary

Claude Mythos Preview

Proprietary

Release date

Claude 3 Haiku

2024-03-01

Claude Mythos Preview

2026-04-07

If you already use one of these models
Deployment change
Both entries list Anthropic as the provider. Confirm endpoint, model ID, limits, and feature support before switching.
Quality signal
The public evidence has no benchmark result shared by both models, so it does not support a quality verdict.
Workload cost
Repository review: $0.01625 vs $1.63. Cache-heavy agent loop: $0.0675 vs $6.75.
Context tradeoff
A complete documented context comparison is not available.

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 evidence2 rows

Agentic

  • CyberGym

    Claude 3 Haiku
    Claude Mythos Preview83.1%
    Source

    Not directly comparable

  • ExploitGym

    Claude 3 Haiku
    Claude Mythos Preview17.5%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Claude 3 Haiku or Claude Mythos Preview?

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, Claude 3 Haiku or Claude Mythos 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, Claude 3 Haiku or Claude Mythos Preview?

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

Which costs less, Claude 3 Haiku or Claude Mythos Preview?

For the stated presets, chat costs $0.00088 on Claude 3 Haiku and $0.0875 on Claude Mythos Preview; repository review costs $0.01625 and $1.63; the cache-heavy agent loop costs $0.0675 and $6.75. Claude 3 Haiku does not fit this workload in one request. Claude 3 Haiku has no published cached-input rate, so cached tokens use its listed input rate. Claude Mythos Preview has no published cached-input rate, so cached tokens use its listed input rate.

Which has the larger context window, Claude 3 Haiku or Claude Mythos Preview?

A complete documented context-window comparison is not available.

Related comparisons

Last updated August 13, 2026

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