Agentic
Not comparable- Cohere Transcribe 03-2026
- Not measured
- GPT-5.6 Terra
- 87.4
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Model comparison
Cohere Transcribe 03-2026 vs GPT-5.6 Terra
Updated August 4, 2026. Public scores include evidence status and uncertainty. They are not guarantees for a specific workload.
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.
22 GPT-5.6 Terra only
- Shared results
- 0
- Cohere Transcribe 03-2026 only
- 0
- GPT-5.6 Terra only
- 22
- 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.
Coding
Not comparable- Cohere Transcribe 03-2026
- Not measured
- GPT-5.6 Terra
- 63.4
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Reasoning
Not comparable- Cohere Transcribe 03-2026
- Not measured
- GPT-5.6 Terra
- 83.9
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Knowledge
Not comparable- Cohere Transcribe 03-2026
- Not measured
- GPT-5.6 Terra
- 92.9
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Math
Not comparable- Cohere Transcribe 03-2026
- Not measured
- GPT-5.6 Terra
- 80.8
- Weighted basis
- 0 vs 2 rows
- Reading
- Not comparable
Multilingual
Not comparable- Cohere Transcribe 03-2026
- Not measured
- GPT-5.6 Terra
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
Multimodal
Not comparable- Cohere Transcribe 03-2026
- Not measured
- GPT-5.6 Terra
- 80.7
- Weighted basis
- 0 vs 1 rows
- Reading
- Not comparable
Instruction following
Not comparable- Cohere Transcribe 03-2026
- Not measured
- GPT-5.6 Terra
- Not measured
- Weighted basis
- 0 vs 0 rows
- Reading
- Not comparable
| Category | Cohere Transcribe 03-2026 | GPT-5.6 Terra | Weighted basis | Reading |
|---|---|---|---|---|
| Agentic | Not measured | 87.4 | Not comparable0 vs 2 rows | Not comparable |
| Coding | Not measured | 63.4 | Not comparable0 vs 1 rows | Not comparable |
| Reasoning | Not measured | 83.9 | Not comparable0 vs 1 rows | Not comparable |
| Knowledge | Not measured | 92.9 | Not comparable0 vs 1 rows | Not comparable |
| Math | Not measured | 80.8 | Not comparable0 vs 2 rows | Not comparable |
| Multilingual | Not measured | Not measured | Not comparable0 vs 0 rows | Not comparable |
| Multimodal | Not measured | 80.7 | Not comparable0 vs 1 rows | Not comparable |
| Instruction following | Not measured | Not measured | Not comparable0 vs 0 rows | 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
- Cohere Transcribe 03-2026
- API rate not published
- Fit state unavailable
- GPT-5.6 Terra
- $0.008
- Fits in one request
Cohere Transcribe 03-2026 has no comparable published API token rate.
Repository review
50K fresh input + 3K output tokens
- Cohere Transcribe 03-2026
- API rate not published
- Fit state unavailable
- GPT-5.6 Terra
- $0.136
- Fits in one request
Cohere Transcribe 03-2026 has no comparable published API token rate.
Cache-heavy agent loop
200K cached + 20K fresh input + 10K output tokens
- Cohere Transcribe 03-2026
- API rate not published
- Fit state unavailable
- Cached-input rate unavailable
- GPT-5.6 Terra
- $0.2
- Fits in one request
Cohere Transcribe 03-2026 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.
SpecificationCohere Transcribe 03-2026GPT-5.6 Terra
Context window
Maximum documented context; output-token limits may be lower.
Cohere Transcribe 03-2026
N/A
GPT-5.6 Terra
1.05M
OpenAI model catalogAPI model ID
Cohere Transcribe 03-2026
CohereLabs/cohere-transcribe-03-2026
Cohere model documentationGPT-5.6 Terra
gpt-5.6-terra
OpenAI model catalogCached-input rate
A missing cached-input rate falls back to the listed input rate only in the stated workload estimate.
Cohere Transcribe 03-2026
No comparable hosted API rate
Cohere model documentationGPT-5.6 Terra
$0.2 per 1M cached input tokens
OpenAI pricingDocumented inputs
Cohere Transcribe 03-2026
Not sourced
GPT-5.6 Terra
text, image
OpenAI model catalogDocumented outputs
Cohere Transcribe 03-2026
Not sourced
GPT-5.6 Terra
Provider availability
Cohere Transcribe 03-2026
Not sourced
GPT-5.6 Terra
Generally Available · OpenAI Responses API
OpenAI model catalogReasoning profile
Cohere Transcribe 03-2026
Non-Reasoning
GPT-5.6 Terra
Reasoning
Weight access
Cohere Transcribe 03-2026
Open Weight
GPT-5.6 Terra
Proprietary
License
Cohere Transcribe 03-2026
Open Weight
GPT-5.6 Terra
Proprietary
Release date
Cohere Transcribe 03-2026
Not sourced
GPT-5.6 Terra
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
- 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
Cohere Transcribe 03-2026—GPT-5.6 Terra87.4%SourceNot directly comparable
BrowseComp
Cohere Transcribe 03-2026—GPT-5.6 Terra87.5%SourceNot directly comparable
OSWorld 2.0
Cohere Transcribe 03-2026—GPT-5.6 Terra50.2%SourceNot directly comparable
CyberGym
Cohere Transcribe 03-2026—GPT-5.6 Terra81.8%SourceNot directly comparable
ExploitGym
Cohere Transcribe 03-2026—GPT-5.6 Terra23.2%SourceNot directly comparable
Toolathlon
Cohere Transcribe 03-2026—GPT-5.6 Terra53.1%SourceNot directly comparable
Coding
SWE-bench Pro
Cohere Transcribe 03-2026—GPT-5.6 Terra63.4%SourceNot directly comparable
Terminal-Bench 2.0
Cohere Transcribe 03-2026—GPT-5.6 Terra87.4%SourceNot directly comparable
deepSwe
Cohere Transcribe 03-2026—GPT-5.6 Terra69.6%SourceNot directly comparable
FrontierCode 1.1 Extended
Cohere Transcribe 03-2026—GPT-5.6 Terra55.8%SourceNot directly comparable
cursorBench32
Cohere Transcribe 03-2026—GPT-5.6 Terra64.9%SourceNot directly comparable
Reasoning
Knowledge
GPQA
Cohere Transcribe 03-2026—GPT-5.6 Terra92.9%SourceNot directly comparable
GPQA-D
Cohere Transcribe 03-2026—GPT-5.6 Terra92.9%SourceNot directly comparable
HealthBench Professional
Cohere Transcribe 03-2026—GPT-5.6 Terra57.7%SourceNot directly comparable
HealthBench Hard
Cohere Transcribe 03-2026—GPT-5.6 Terra32.7%SourceNot directly comparable
Math
Multimodal
Frequently asked questions
Which is better, Cohere Transcribe 03-2026 or GPT-5.6 Terra?
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, Cohere Transcribe 03-2026 or GPT-5.6 Terra?
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, Cohere Transcribe 03-2026 or GPT-5.6 Terra?
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, Cohere Transcribe 03-2026 or GPT-5.6 Terra?
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, Cohere Transcribe 03-2026 or GPT-5.6 Terra?
A complete documented context-window comparison is not available.
Related comparisons
Last updated August 4, 2026
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