BLIP-2 OPT 2.7B vs LLaVA 1.5 7B

What the listed data says

LITHOVEX lists BLIP-2 OPT 2.7B at a large context window and LLaVA 1.5 7B at a large context window. Check provider documentation for current specifications. BLIP-2 OPT 2.7B is listed for no specific capability flags; LLaVA 1.5 7B is listed for no specific capability flags. Shared catalog benchmark entries: VQAv2: BLIP-2 OPT 2.7B 65.2%; LLaVA 1.5 7B 80.0%; GQA: BLIP-2 OPT 2.7B 41.0%; LLaVA 1.5 7B 63.3%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

Catalog source links

Use these model and provider links to verify current specifications, pricing, and availability.

Computed differences from catalog data

A context-window ratio cannot be calculated from the catalog values (a large context window for BLIP-2 OPT 2.7B; a large context window for LLaVA 1.5 7B).
On shared numeric benchmark entries, VQAv2: BLIP-2 OPT 2.7B − LLaVA 1.5 7B = -14.8 percentage points (65.2% vs 80.0%); GQA: BLIP-2 OPT 2.7B − LLaVA 1.5 7B = -22.3 percentage points (41.0% vs 63.3%).
The catalog release dates are January 2023 and October 2023, about 9 months apart at the precision supplied.

Cost example: 1M input and 1M output tokens

A cost example for 1M input plus 1M output tokens cannot be calculated reliably because separate numeric input and output rates are not listed for both models.

Choose BLIP-2 OPT 2.7B if…

Choose BLIP-2 OPT 2.7B when your task aligns with catalog-listed uses or strengths such as Image captioning with Q-Former approach, Research on vision-language alignment, Q-Former architecture: efficient vision-language alignment, BSD-3 license — permissive commercial use.

Choose LLaVA 1.5 7B if…

Choose LLaVA 1.5 7B when your task aligns with catalog-listed uses or strengths such as Research on VLM architectures, Legacy LLaVA 1.5 integrations, Pioneering open VLM — democratized multimodal AI research, 80% VQAv2 at low cost.

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BLIP-2 OPT 2.7B

Browse Salesforce models

Salesforce BLIP-2 with OPT-2.7B — answers natural-language questions about an image (visual question answering).

Catalog pricing: BSD-3 — free

Salesforce General Purpose Open Source

View BLIP-2 OPT 2.7B model profile

Try BLIP-2 OPT 2.7B Free

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LLaVA 1.5 7B

Browse llava-hf models

LLaVA 1.5 7B — open multimodal chat model that can see images. Describe pictures, read screenshots, or analyse charts conversationally.

Parameters: 7B + 307M vision encoder

Catalog pricing: Apache 2.0 — free

llava-hf General Purpose Open Source

View LLaVA 1.5 7B model profile

Try LLaVA 1.5 7B Free

Feature Comparison — BLIP-2 OPT 2.7B vs LLaVA 1.5 7B

Catalog specifications for BLIP-2 OPT 2.7B and LLaVA 1.5 7B
Specification	BLIP-2 OPT 2.7B	LLaVA 1.5 7B
Provider	Salesforce	llava-hf
Parameters	Not listed	7B + 307M vision encoder
Context window	Not listed	Not listed
Maximum output	Not listed	Not listed
Catalog pricing	BSD-3 — free	Apache 2.0 — free
Listed input/output cost per 1M tokens	Separate numeric input/output rates not listed	Separate numeric input/output rates not listed
License	BSD-3-Clause	Apache 2.0
Coding support	Not listed	Not listed
Reasoning support	Not listed	Not listed
Vision input	Not listed	Not listed
Multimodal	Not listed	Not listed
Open weights	Yes	Yes
Benchmark: VQAv2	65.2%	80.0%
Benchmark: GQA	41.0%	63.3%

Figures are transcribed from LITHOVEX model records. Benchmark versions and evaluation setups may differ; pricing and specifications can change. Check each provider's current documentation before making a decision.

Frequently Asked Questions

What is different between BLIP-2 OPT 2.7B and LLaVA 1.5 7B?

LITHOVEX lists BLIP-2 OPT 2.7B at a large context window and LLaVA 1.5 7B at a large context window. Check provider documentation for current specifications. BLIP-2 OPT 2.7B is listed for no specific capability flags; LLaVA 1.5 7B is listed for no specific capability flags. Shared catalog benchmark entries: VQAv2: BLIP-2 OPT 2.7B 65.2%; LLaVA 1.5 7B 80.0%; GQA: BLIP-2 OPT 2.7B 41.0%; LLaVA 1.5 7B 63.3%. These records are reference data, not a controlled head-to-head test; verify current pricing and specifications with each provider.

What benchmark values are listed for BLIP-2 OPT 2.7B and LLaVA 1.5 7B?

VQAv2: BLIP-2 OPT 2.7B 65.2%; LLaVA 1.5 7B 80.0%; GQA: BLIP-2 OPT 2.7B 41.0%; LLaVA 1.5 7B 63.3%. The catalog values may use different versions and evaluation setups, so they are reference points rather than a controlled head-to-head result.

Which model has the larger listed context window?

LITHOVEX lists BLIP-2 OPT 2.7B at a large context window and LLaVA 1.5 7B at a large context window. Check provider documentation for current specifications.

What are the listed costs per million tokens for BLIP-2 OPT 2.7B and LLaVA 1.5 7B?

BLIP-2 OPT 2.7B: Separate numeric input/output rates not listed (BSD-3 — free). LLaVA 1.5 7B: Separate numeric input/output rates not listed (Apache 2.0 — free). Where separate numeric input and output rates are available, the worked example uses 1M input plus 1M output tokens. Confirm current terms with each provider.

How far apart are the listed release dates for BLIP-2 OPT 2.7B and LLaVA 1.5 7B?

The catalog lists BLIP-2 OPT 2.7B as January 2023 and LLaVA 1.5 7B as October 2023, about 9 months apart at the precision supplied.

When was the comparison data last updated?

The model catalog records 2026-10-16 as its data update date. Provider specifications and prices may have changed since then.

How should I choose between BLIP-2 OPT 2.7B and LLaVA 1.5 7B?

Compare the listed specifications and capabilities, review the benchmark notes, then test both with the same representative prompt for your task. This page does not claim a universal winner.

Explore these models and related comparisons

Read the BLIP-2 OPT 2.7B model profile and LLaVA 1.5 7B model profile, or browse the model directory.

Return to the comparison directory