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BenchLM
Mistral logo
Model A
Mixtral 8x22B Instruct v0.1

Mistral

26.61/100

Supported · Public rank #224

90% interval 9.0–44.3

Mixtral 8x22B Instruct v0.1 vs Nemotron 3 Ultra

Updated September 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.

NVIDIA logo
Model B
Nemotron 3 Ultra

NVIDIA

40.67/100

Estimated · Public rank #188

90% interval 30.8–50.5

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

    Nemotron 3 Ultra

    Nemotron 3 Ultra 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

    Mixtral 8x22B Instruct v0.1 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

    Mixtral 8x22B Instruct v0.1 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. Mixtral 8x22B Instruct v0.1 does not fit this workload in one request. Mixtral 8x22B Instruct v0.1 has no comparable published API token rate. Nemotron 3 Ultra 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
Mixtral 8x22B Instruct v0.1 only
0
Nemotron 3 Ultra only
24
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
Mixtral 8x22B Instruct v0.1
Not ranked
Nemotron 3 Ultra
22.2
Supported · #150/151
Basis
BenchAlign lane · 0 vs 6 public rows
Reading
Not comparable

Coding

Not comparable
Mixtral 8x22B Instruct v0.1
Not ranked
Nemotron 3 Ultra
26.9
Supported · #174/183
Basis
BenchAlign lane · 0 vs 7 public rows
Reading
Not comparable

Reasoning

Not comparable
Mixtral 8x22B Instruct v0.1
Not ranked
Nemotron 3 Ultra
48.7
Unranked · 1 rankable row
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Knowledge

Not comparable
Mixtral 8x22B Instruct v0.1
Not ranked
Nemotron 3 Ultra
45.6
Estimated · #114/181
Basis
BenchAlign lane · 0 vs 7 public rows
Reading
Not comparable

Math

Not comparable
Mixtral 8x22B Instruct v0.1
Not ranked
Nemotron 3 Ultra
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Multilingual

Not comparable
Mixtral 8x22B Instruct v0.1
Not ranked
Nemotron 3 Ultra
47.4
#7/12
Basis
Provisional lane · 0 vs 1 weighted rows
Reading
Not comparable

Multimodal

Not comparable
Mixtral 8x22B Instruct v0.1
Not ranked
Nemotron 3 Ultra
Not ranked
Basis
Provisional lane · 0 vs 0 weighted rows
Reading
Not comparable

Instruction following

Not comparable
Mixtral 8x22B Instruct v0.1
Not ranked
Nemotron 3 Ultra
88.7
#28/120
Basis
Provisional lane · 0 vs 1 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

Mixtral 8x22B Instruct v0.1
Self-hosted; infrastructure cost varies
Fits in one request
Nemotron 3 Ultra
Self-hosted; infrastructure cost varies
Fits in one request

Mixtral 8x22B Instruct v0.1 has no comparable published API token rate. Nemotron 3 Ultra has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

Mixtral 8x22B Instruct v0.1
Self-hosted; infrastructure cost varies
Fits in one request
Nemotron 3 Ultra
Self-hosted; infrastructure cost varies
Fits in one request

Mixtral 8x22B Instruct v0.1 has no comparable published API token rate. Nemotron 3 Ultra has no comparable published API token rate.

Cache-heavy agent loop

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

Mixtral 8x22B Instruct v0.1
Self-hosted; infrastructure cost varies
Does not fit in one request
Cached-input rate unavailable
Nemotron 3 Ultra
Self-hosted; infrastructure cost varies
Fits in one request
Cached-input rate unavailable

Mixtral 8x22B Instruct v0.1 does not fit this workload in one request. Mixtral 8x22B Instruct v0.1 has no comparable published API token rate. Nemotron 3 Ultra 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.

Mixtral 8x22B Instruct v0.1

64K

Nemotron 3 Ultra

1M

API model ID

Mixtral 8x22B Instruct v0.1

Not sourced

Nemotron 3 Ultra

Not sourced

Cached-input rate

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

Mixtral 8x22B Instruct v0.1

No comparable hosted API rate

Nemotron 3 Ultra

No comparable hosted API rate

Documented inputs

Mixtral 8x22B Instruct v0.1

Not sourced

Nemotron 3 Ultra

Not sourced

Documented outputs

Mixtral 8x22B Instruct v0.1

Not sourced

Nemotron 3 Ultra

Not sourced

Provider availability

Mixtral 8x22B Instruct v0.1

Not sourced

Nemotron 3 Ultra

Not sourced

Reasoning profile

Mixtral 8x22B Instruct v0.1

Non-Reasoning

Nemotron 3 Ultra

Reasoning

Weight access

Mixtral 8x22B Instruct v0.1

Open Weight

Nemotron 3 Ultra

Open Weight

License

Mixtral 8x22B Instruct v0.1

Open Weight

Nemotron 3 Ultra

Open Weight

Release date

Mixtral 8x22B Instruct v0.1

Not sourced

Nemotron 3 Ultra

2026-06-04

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
Nemotron 3 Ultra 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 evidence24 rows

Agentic

  • Terminal-Bench 2.0

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra56.4%
    Source

    Not directly comparable

  • PinchBench

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra90.0%
    Source

    Not directly comparable

  • BrowseComp

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra44.4%
    Source

    Not directly comparable

  • τ³-bench results

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra70.9%
    Source

    Not directly comparable

  • HLE w/ tools

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra37.4%
    Source

    Not directly comparable

  • Terminal-Bench 2.1 (Vals)

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra50.9%
    Source

    Not directly comparable

Coding

  • SWE-bench Verified

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra71.9%
    Source

    Not directly comparable

  • SWE Multilingual

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra67.7%
    Source

    Not directly comparable

  • LiveCodeBench v6

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra89.0%
    Source

    Not directly comparable

  • SciCode

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra44.6%
    Source

    Not directly comparable

  • Terminal-Bench 2.0

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra56.4%
    Source

    Not directly comparable

  • LiveCodeBench (Vals)

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra86.0%
    Source

    Not directly comparable

  • SWE-bench (Vals)

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra69.0%
    Source

    Not directly comparable

Reasoning

  • CritPt

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra3.1%
    Source

    Not directly comparable

  • LongBench v2

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra61.9%
    Source

    Not directly comparable

Knowledge

  • GPQA

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra87%
    Source

    Not directly comparable

  • GPQA-D

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra87.0%
    Source

    Not directly comparable

  • HLE

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra26.7%
    Source

    Not directly comparable

  • HLE w/o tools

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra26.7%
    Source

    Not directly comparable

  • MMLU-Pro

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra86.8%
    Source

    Not directly comparable

  • GPQA Diamond (Vals)

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra86.1%
    Source

    Not directly comparable

  • MMLU-Pro (Vals)

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra85.8%
    Source

    Not directly comparable

Multilingual

  • MMLU-ProX

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra83%
    Source

    Not directly comparable

Instruction following

  • IFBench

    Mixtral 8x22B Instruct v0.1—
    Nemotron 3 Ultra81.7%
    Source

    Not directly comparable

Frequently asked questions

Which is better, Mixtral 8x22B Instruct v0.1 or Nemotron 3 Ultra?

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, Mixtral 8x22B Instruct v0.1 or Nemotron 3 Ultra?

Mixtral 8x22B Instruct v0.1 is not ranked on the public lane for coding, so no winner is named for coding.

Which is better for agentic tasks, Mixtral 8x22B Instruct v0.1 or Nemotron 3 Ultra?

Mixtral 8x22B Instruct v0.1 is not ranked on the public lane for agentic tasks, so no winner is named for agentic tasks.

Which costs less, Mixtral 8x22B Instruct v0.1 or Nemotron 3 Ultra?

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, Mixtral 8x22B Instruct v0.1 or Nemotron 3 Ultra?

Nemotron 3 Ultra has the larger documented context window: 1M, compared with 64K.

Related comparisons

Compare API pricing Read the methodology Open the model selector

Last updated September 4, 2026

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