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Model comparison

GPT-5.6 Terra vs Ultravox v0.6 Llama 3.3 70B

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

GPT-5.6 Terra

OpenAI

72.3/100

Estimated · Public rank #12

90% interval 62.5–82.0

Ultravox v0.6 Llama 3.3 70B

Fixie AI

—

Evidence status unavailable

90% interval unavailable

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.

No workload recommendation clears the current evidence threshold.

Use the matched evidence, workload costs, and sourced specifications below instead of treating a point score as a universal answer.

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

  • 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

  • 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
0
GPT-5.6 Terra only
22
Ultravox v0.6 Llama 3.3 70B only
0
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
GPT-5.6 Terra
87.4
Ultravox v0.6 Llama 3.3 70B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Coding

Not comparable
GPT-5.6 Terra
63.4
Ultravox v0.6 Llama 3.3 70B
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Reasoning

Not comparable
GPT-5.6 Terra
83.9
Ultravox v0.6 Llama 3.3 70B
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Knowledge

Not comparable
GPT-5.6 Terra
92.9
Ultravox v0.6 Llama 3.3 70B
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Math

Not comparable
GPT-5.6 Terra
80.8
Ultravox v0.6 Llama 3.3 70B
Not measured
Weighted basis
2 vs 0 rows
Reading
Not comparable

Multilingual

Not comparable
GPT-5.6 Terra
Not measured
Ultravox v0.6 Llama 3.3 70B
Not measured
Weighted basis
0 vs 0 rows
Reading
Not comparable

Multimodal

Not comparable
GPT-5.6 Terra
80.7
Ultravox v0.6 Llama 3.3 70B
Not measured
Weighted basis
1 vs 0 rows
Reading
Not comparable

Instruction following

Not comparable
GPT-5.6 Terra
Not measured
Ultravox v0.6 Llama 3.3 70B
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

GPT-5.6 Terra
$0.008
Fits in one request
Ultravox v0.6 Llama 3.3 70B
API rate not published
Fit state unavailable

Ultravox v0.6 Llama 3.3 70B has no comparable published API token rate.

Repository review

50K fresh input + 3K output tokens

GPT-5.6 Terra
$0.136
Fits in one request
Ultravox v0.6 Llama 3.3 70B
API rate not published
Fit state unavailable

Ultravox v0.6 Llama 3.3 70B has no comparable published API token rate.

Cache-heavy agent loop

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

GPT-5.6 Terra
$0.2
Fits in one request
Ultravox v0.6 Llama 3.3 70B
API rate not published
Fit state unavailable
Cached-input rate unavailable

Ultravox v0.6 Llama 3.3 70B 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.

GPT-5.6 Terra

1.05M

OpenAI model catalog

Ultravox v0.6 Llama 3.3 70B

N/A

Cached-input rate

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

GPT-5.6 Terra

$0.2 per 1M cached input tokens

OpenAI pricing

Ultravox v0.6 Llama 3.3 70B

No comparable hosted API rate

Fixie AI model documentation

Provider availability

GPT-5.6 Terra

Generally Available · OpenAI Responses API

OpenAI model catalog

Ultravox v0.6 Llama 3.3 70B

Not sourced

Reasoning profile

GPT-5.6 Terra

Reasoning

Ultravox v0.6 Llama 3.3 70B

Non-Reasoning

Weight access

GPT-5.6 Terra

Proprietary

Ultravox v0.6 Llama 3.3 70B

Open Weight

License

GPT-5.6 Terra

Proprietary

Ultravox v0.6 Llama 3.3 70B

Open Weight

Release date

GPT-5.6 Terra

2026-07-09

Ultravox v0.6 Llama 3.3 70B

Not sourced

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
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 evidence22 rows

Agentic

  • Terminal-Bench 2.0

    GPT-5.6 Terra87.4%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • BrowseComp

    GPT-5.6 Terra87.5%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • OSWorld 2.0

    GPT-5.6 Terra50.2%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • CyberGym

    GPT-5.6 Terra81.8%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • ExploitGym

    GPT-5.6 Terra23.2%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • Toolathlon

    GPT-5.6 Terra53.1%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

Coding

  • SWE-bench Pro

    GPT-5.6 Terra63.4%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • Terminal-Bench 2.0

    GPT-5.6 Terra87.4%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • deepSwe

    GPT-5.6 Terra69.6%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • FrontierCode 1.1 Extended

    GPT-5.6 Terra55.8%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • cursorBench32

    GPT-5.6 Terra64.9%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

Reasoning

  • ARC-AGI-2

    GPT-5.6 Terra83.9%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • ARC-AGI-3

    GPT-5.6 Terra0.8%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

Knowledge

  • GPQA

    GPT-5.6 Terra92.9%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • GPQA-D

    GPT-5.6 Terra92.9%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • HealthBench Professional

    GPT-5.6 Terra57.7%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • HealthBench Hard

    GPT-5.6 Terra32.7%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

Math

  • FrontierMath (legacy)

    GPT-5.6 Terra84.9%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • FrontierMath v2 (Tiers 1-3)

    GPT-5.6 Terra84.900%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • FrontierMath v2 (Tier 4)

    GPT-5.6 Terra68.300%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

Multimodal

  • MMMU-Pro

    GPT-5.6 Terra80.7%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

  • MMMU-Pro w/ Python

    GPT-5.6 Terra82%
    Source
    Ultravox v0.6 Llama 3.3 70B—

    Not directly comparable

Frequently asked questions

Which is better, GPT-5.6 Terra or Ultravox v0.6 Llama 3.3 70B?

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, GPT-5.6 Terra or Ultravox v0.6 Llama 3.3 70B?

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, GPT-5.6 Terra or Ultravox v0.6 Llama 3.3 70B?

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, GPT-5.6 Terra or Ultravox v0.6 Llama 3.3 70B?

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, GPT-5.6 Terra or Ultravox v0.6 Llama 3.3 70B?

A complete documented context-window comparison is not available.

Related comparisons

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Last updated August 4, 2026

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