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Comparison · 3 models · Updated Oct 4, 2026

Gemini 2.5 Flash vs GPT OSS 120B vs Qwen3 235B-A22B Instruct 2507

Gemini 2.5 Flash comes out ahead, 68 to 61 and 58 on our weighted score, though GPT OSS 120B is 3.2× cheaper per token.

  1. Our pick

    Google

    Gemini 2.5 Flash

    Released Jun 17, 2025

    68/100
    • ECI140.8
    • Price$0.30 / $2.50
    • Context1.05M
    Full specs Remove Gemini 2.5 Flash

  2. OpenAI

    GPT OSS 120B

    Released Aug 5, 2025

    61/100
    • ECI140.0
    • Price$0.15 / $0.60
    • Context131K
    Full specs Remove GPT OSS 120B

  3. Alibaba (Qwen)

    Qwen3 235B-A22B Instruct 2507

    Released Jul 21, 2025

    58/100
    • ECI138.9
    • Price$0.15 / $0.75
    • Context262K
    Full specs Remove Qwen3 235B-A22B Instruct 2507
01 — Verdict

Gemini 2.5 Flash is our pick

Gemini 2.5 Flash is the better all-round choice, scoring 68/100 against GPT OSS 120B (61) and Qwen3 235B-A22B Instruct 2507 (58). It leads on inputs & features and context window. GPT OSS 120B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 2.5 FlashCapabilities Index (ECI): Gemini 2.5 Flash 140.8 · GPT OSS 120B 140.0 · Qwen3 235B-A22B Instruct 2507 138.9
  • Lowest priceGPT OSS 120BGPT OSS 120B $0.263 · Qwen3 235B-A22B Instruct 2507 $0.30 · Gemini 2.5 Flash $0.85 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 FlashGemini 2.5 Flash 1,048,576 · Qwen3 235B-A22B Instruct 2507 262,144 · GPT OSS 120B 131,072 tokens
  • Widest inputsGemini 2.5 FlashGemini 2.5 Flash: Text, Images, PDFs, Audio, Video · GPT OSS 120B: Text · Qwen3 235B-A22B Instruct 2507: Text
  • Self-hostingGPT OSS 120B and Qwen3 235B-A22B Instruct 2507Publishes downloadable weights (Apache 2.0)
How the score is built
MeasureWeightGemini 2.5 FlashGPT OSS 120BQwen3 235B-A22B Instruct 2507
CapabilityCapabilities Index (ECI)50%676564
Price25%537775
Inputs & features15%1004525
Context window10%612437
Overall100%68/10061/10058/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Gemini 2.5 Flash vs GPT OSS 120B vs Qwen3 235B-A22B Instruct 2507 specifications side by side
SpecificationGemini 2.5 FlashGoogleGPT OSS 120BOpenAIQwen3 235B-A22B Instruct 2507Alibaba (Qwen)
Capability
Capabilities Index (ECI)140.8 (best)140.0138.9
ECI rank#97 of 148 (best)#99 of 148#105 of 148
GPQA DiamondGraduate-level science questions—75.8%—
OTIS Mock AIME 2024–2025Competition mathematics—88.9%—
Price per million tokens
Input$0.30$0.15 (best)$0.15 (best)
Output$2.50$0.60 (best)$0.75
Cached input$0.03——
Blended (3:1)$0.85$0.263 (best)$0.30
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Google APIMedian of 36 providersMedian of 11 providers
Limits
Context window1,048,576 tokens (best)131,072 tokens262,144 tokens
Max output65,536 tokens (best)32,768 tokens16,384 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYesNo
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryOpenOpenApache 2.0
API model IDgemini-2.5-flash——
API providers2239 (best)11
ReleasedJun 17, 2025Aug 5, 2025Jul 21, 2025
Knowledge cutoffJan 2025——
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Gemini 2.5 Flash$8.00
  • GPT OSS 120B$2.70
  • Qwen3 235B-A22B Instruct 2507$3.00
04 — Questions

Which should you choose?

Which is better: Gemini 2.5 Flash, GPT OSS 120B or Qwen3 235B-A22B Instruct 2507?

Gemini 2.5 Flash is the better all-round choice, scoring 68/100 against GPT OSS 120B (61) and Qwen3 235B-A22B Instruct 2507 (58). It leads on inputs & features and context window. GPT OSS 120B wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 2.5 Flash, GPT OSS 120B or Qwen3 235B-A22B Instruct 2507?

GPT OSS 120B is cheaper at $0.15 input / $0.60 output per million tokens (median across 36 API providers). Qwen3 235B-A22B Instruct 2507 costs $0.15 input / $0.75 output per million tokens (median across 11 API providers); Gemini 2.5 Flash costs $0.30 input / $2.50 output per million tokens (official Google API price). At a typical mix of three input tokens to one output token, that is $0.263 per million tokens for GPT OSS 120B versus $0.30 for Qwen3 235B-A22B Instruct 2507 (1.1× as much) and $0.85 for Gemini 2.5 Flash (3.2× as much).

Which scores higher on benchmarks?

Gemini 2.5 Flash scores higher on the Capabilities Index (ECI): Gemini 2.5 Flash 140.8 (#97 of 148), GPT OSS 120B 140.0 (#99 of 148) and Qwen3 235B-A22B Instruct 2507 138.9 (#105 of 148). The confidence ranges of the top two overlap (138.5–142.3 vs 135.3–142.3), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini 2.5 Flash, GPT OSS 120B and Qwen3 235B-A22B Instruct 2507 yet, so there is no like-for-like coding score. On overall capability, Gemini 2.5 Flash leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Flash has the largest context window at 1,048,576 tokens, against 262,144 for Qwen3 235B-A22B Instruct 2507 and 131,072 for GPT OSS 120B. Maximum output per response: Gemini 2.5 Flash up to 65,536, GPT OSS 120B up to 32,768, Qwen3 235B-A22B Instruct 2507 up to 16,384 tokens.

Which can read images, PDFs, audio or video?

Gemini 2.5 Flash accepts text, images, PDFs, audio and video; GPT OSS 120B accepts text; Qwen3 235B-A22B Instruct 2507 accepts text. Gemini 2.5 Flash handles the widest range of inputs.

Are any of these open source?

GPT OSS 120B and Qwen3 235B-A22B Instruct 2507 publishes its weights (Apache 2.0) and can be self-hosted; Gemini 2.5 Flash is proprietary.

Which is newer?

GPT OSS 120B is the newest, released Aug 5, 2025. Qwen3 235B-A22B Instruct 2507 came out Jul 21, 2025; Gemini 2.5 Flash came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Flash Jan 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.

05 — Keep comparing

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