Head-to-head · multimodal vs multimodal

DeepSeek-R1 Chat vs o3 Vision: which model should you choose?

We compared DeepSeek-R1 Chat and o3 Vision on price, context window and 12 benchmarks. DeepSeek-R1 Chat has the stronger average benchmark score; DeepSeek-R1 Chat is cheaper on a blended 3:1 basis.

DeepSeek

DeepSeek-R1 Chat

DeepSeek-R1 Chat is a multimodal model from DeepSeek. It offers a 400,000-token context window, costs $5.62 per million input tokens and $21.49 per million output tokens, and averages 82.4 across the index's benchmark suite.

Input
$5.62 / 1M
Output
$21.49 / 1M
Context
400,000
Avg score
82.4
Open weights
Yes
Full DeepSeek-R1 Chat page
OpenAI

o3 Vision

o3 Vision is a multimodal model from OpenAI. It offers a 1,000,000-token context window, costs $15.24 per million input tokens and $65.25 per million output tokens, and averages 81.8 across the index's benchmark suite.

Input
$15.24 / 1M
Output
$65.25 / 1M
Context
1,000,000
Avg score
81.8
Open weights
No
Full o3 Vision page

Specification comparison

SpecDeepSeek-R1 Chato3 VisionEdge
Input price / 1M$5.62$15.24A
Output price / 1M$21.49$65.25A
Context window400,0001,000,000B
Max output128,0008,192A
Average score82.481.8A
Arena Elo1433.31436.5B
Open weightsYesNoA

Benchmark comparison

DeepSeek-R1 Chat wins 6, o3 Vision wins 6, and 0 benchmarks are tied. The table shows the modelled score for each model and the gap.

BenchmarkDeepSeek-R1 Chato3 VisionGapWinner
MMLU-Pro83.483.60.2o3 Vision
GPQA Diamond80.077.82.2DeepSeek-R1 Chat
SWE-bench Verified71.771.80.1o3 Vision
HumanEval84.985.60.7o3 Vision
MATH-50089.184.44.7DeepSeek-R1 Chat
AIME 202578.682.43.8o3 Vision
LiveCodeBench79.373.75.6DeepSeek-R1 Chat
IFEval89.589.30.2DeepSeek-R1 Chat
TruthfulQA82.385.83.5o3 Vision
HellaSwag90.689.70.9DeepSeek-R1 Chat
MMMU77.175.71.4DeepSeek-R1 Chat
Arena Elo1433.31436.53.2o3 Vision

Price analysis

On a blended 3:1 input-to-output basis, DeepSeek-R1 Chat costs about $9.59 per million tokens and o3 Vision costs about $27.74. DeepSeek-R1 Chat is roughly 65% cheaper than o3 Vision. At high volume, that gap compounds quickly, so price should carry real weight unless the quality difference is decisive.

o3 Vision has the larger context window at 1,000,000 tokens, compared with 400,000 for DeepSeek-R1 Chat. That matters for long documents, large codebases and multi-step agent traces.

Verdict

Across 12 shared benchmarks, DeepSeek-R1 Chat wins 6, o3 Vision wins 6, and 0 are tied. On the index average, DeepSeek-R1 Chat leads o3 Vision by 0.6 points (82.4 versus 81.8).

The price picture favours DeepSeek-R1 Chat. The context picture favours o3 Vision. Those two dimensions often matter more than a few benchmark points once a model is good enough for the task.

If you need a single default, start with DeepSeek-R1 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.

Choose DeepSeek-R1 Chat if

  • You want the higher average benchmark score in this index.
  • Unit cost matters and you want the cheaper blended price.
  • You need the larger 128,000-token output limit.
  • You need open weights for self-hosting or fine-tuning.

Choose o3 Vision if

  • You need the larger 1,000,000-token context window.

FAQ

Is DeepSeek-R1 Chat better than o3 Vision?

On the index average, DeepSeek-R1 Chat leads o3 Vision by 0.6 points (82.4 versus 81.8). The better choice depends on price, context and your task. DeepSeek-R1 Chat wins 6 benchmarks, o3 Vision wins 6.

Which is cheaper, DeepSeek-R1 Chat or o3 Vision?

DeepSeek-R1 Chat is cheaper on a blended 3:1 basis at about $9.59 per million tokens, versus $27.74 for o3 Vision.

Which has the larger context window?

o3 Vision has the larger context window at 1,000,000 tokens. DeepSeek-R1 Chat has 400,000 tokens.

Are these models open weights?

DeepSeek-R1 Chat is open weights; o3 Vision is proprietary.

Which should I choose for production?

If you need a single default, start with DeepSeek-R1 Chat for quality-sensitive work, and check whether its price holds at your expected volume before committing.

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